Datasets:
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venue string | year int64 | title string | snippet string | url string |
|---|---|---|---|---|
ACL | 2,025 | (Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages | Simplified language enhances the accessibility and human understanding of texts. However, whether it also benefits large language models (LLMs) remains underexplored. This paper extensively studies wh… | https://aclanthology.org/2025.gem-1.70/ |
ACL | 2,025 | (Fact) Check Your Bias | Automatic fact verification systems increasingly rely on large language models (LLMs). We investigate how parametric knowledge biases in these models affect fact-checking outcomes of the HerO system (… | https://aclanthology.org/2025.fever-1.12/ |
ACL | 2,025 | (RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding | Figurative language (e.g., irony, hyperbole, understatement) is ubiquitous in human communication, resulting in utterances where the literal and the intended meanings do not match. The Rational Speech… | https://aclanthology.org/2025.acl-long.1019/ |
ACL | 2,025 | (Towards) Scalable Reliable Automated Evaluation with Large Language Models | Evaluating the quality and relevance of textual outputs from Large Language Models (LLMs) remains challenging and resource-intensive.Existing automated metrics often fail to capture the complexity and… | https://aclanthology.org/2025.gem-1.28/ |
ACL | 2,025 | 1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning | Addressing contextual privacy concerns remains challenging in interactive settings where large language models (LLMs) process information from multiple sources. Building on the theory of contextual in… | https://aclanthology.org/2025.llmsec-1.9/ |
ACL | 2,025 | 100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? | Long-context capability is considered one of the most important abilities of LLMs, as a truly long context-capable LLM shall enable its users to effortlessly process many originally exhausting tasks —… | https://aclanthology.org/2025.findings-acl.903/ |
ACL | 2,025 | 111DUT at SemEval-2025 Task 8:Hierarchical Chain-of-Thought Reasoning and Multi-Model Deliberation for Robust TableQA | The proliferation of structured tabular data in domains like healthcare and finance has intensified the demand for precise table question answering, particularly for complex numerical reasoning and cr… | https://aclanthology.org/2025.semeval-1.32/ |
ACL | 2,025 | 2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset Download PDF | We introduce the first highly multilingual speech and American Sign Language (ASL) comprehension dataset by extending BELEBELE. Our dataset covers 91 spoken languages at the intersection of BELEBELE a… | https://aclanthology.org/2025.findings-acl.569/ |
ACL | 2,025 | 3DM: Distill, Dynamic Drop, and Merge for Debiasing Multi-modal Large Language Models | The rapid advancement of Multi-modal Language Models (MLLMs) has significantly enhanced performance in multimodal tasks, yet these models often exhibit inherent biases that compromise their reliabilit… | https://aclanthology.org/2025.findings-acl.722/ |
ACL | 2,025 | 500xCompressor: Generalized Prompt Compression for Large Language Models | Prompt compression is important for large language models (LLMs) to increase inference speed, reduce costs, and improve user experience. However, current methods face challenges such as low compressio… | https://aclanthology.org/2025.acl-long.1219/ |
ACL | 2,025 | 5cNLP at BioLaySumm2025: Prompts, Retrieval, and Multimodal Fusion | In this work, we present our approach to addressing all subtasks of the BioLaySumm 2025 shared task by leveraging prompting and retrieval strategies, as well as multimodal input fusion. Our method int… | https://aclanthology.org/2025.bionlp-share.27/ |
ACL | 2,025 | 7 Points to Tsinghua but 10 Points to 清华? Assessing Large Language Models in Agentic Multilingual National Bias | Large Language Models have garnered significant attention for their capabilities in multilingual natural language processing, while studies on risks associated with cross biases are limited to immedia… | https://aclanthology.org/2025.findings-acl.1355/ |
ACL | 2,025 | A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning | Understanding how linguistic topics are related to each another is essential for designing effective and adaptive second-language (L2) instruction. We present a data-driven framework to model topic de… | https://aclanthology.org/2025.bea-1.53/ |
ACL | 2,025 | A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding | Recently, many studies have demonstrated that exclusively incorporating OCR-derived text and spatial layouts with large language models (LLMs) can be highly effective for document understanding tasks.… | https://aclanthology.org/2025.findings-acl.379/ |
ACL | 2,025 | A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs | Large Language Models (LLMs) have demonstrated remarkable generalization capabilities across diverse tasks and languages. In this study, we focus on natural language understanding in three classical l… | https://aclanthology.org/2025.findings-acl.141/ |
ACL | 2,025 | A Character-Centric Creative Story Generation via Imagination | Creative story generation has long been a goal of NLP research. While existing methodologies have aimed to generate long and coherent stories, they fall significantly short of human capabilities in te… | https://aclanthology.org/2025.findings-acl.82/ |
ACL | 2,025 | A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts | The current project is inscribed within the field of stemmatology or the study and/or reconstruction of textual transmission based on the relationship between the available witnesses of given texts. I… | https://aclanthology.org/2025.findings-acl.1098/ |
ACL | 2,025 | A Cognitive Writing Perspective for Constrained Long-Form Text Generation | Like humans, Large Language Models (LLMs) struggle to generate high-quality long-form text that adheres to strict requirements in a single pass. This challenge is unsurprising, as successful human wri… | https://aclanthology.org/2025.findings-acl.511/ |
ACL | 2,025 | A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment | Recent advancements in retrieval-augmented generation (RAG) have enhanced large language models in question answering by integrating external knowledge. However, challenges persist in achieving global… | https://aclanthology.org/2025.findings-acl.1108/ |
ACL | 2,025 | A Comprehensive Taxonomy of Bias Mitigation Methods for Hate Speech Detection | Algorithmic hate speech detection is widely used today. However, biases within these systems can lead to discrimination. This research presents an overview of bias mitigation strategies in the field o… | https://aclanthology.org/2025.woah-1.1/ |
ACL | 2,025 | A Computational Framework to Identify Self-Aspects in Text | This Ph.D. proposal introduces a plan to develop a computational framework to identify Self-aspects in text. The Self is a multifaceted construct and it is reflected in language. While it is described… | https://aclanthology.org/2025.acl-srw.47/ |
ACL | 2,025 | A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates | This study explores current limitations of learned image captioning evaluation metrics, specifically the lack of granular assessments for errors within captions, and the reliance on single-point quali… | https://aclanthology.org/2025.findings-acl.638/ |
ACL | 2,025 | A Constrained Text Revision Agent via Iterative Planning and Searching | Existing text revision systems are capable of generating fluent and coherent text, but struggle with constrained text revision (CTR), which requires adherence to specific constraints. Furthermore, ada… | https://aclanthology.org/2025.findings-acl.1377/ |
ACL | 2,025 | A Continuous Approach to Metaphorically Motivated Regular Polysemy in Language Models | Linguistic accounts show that a word’s polysemy structure is largely governed by systematic sense alternations that form overarching patterns across the vocabulary. While psycholinguistic studies conf… | https://aclanthology.org/2025.conll-1.28/ |
ACL | 2,025 | A Conversational Agent Framework for Multimodal Knowledge Retrieval: A Case Study in FHWA InfoHighway Web Portal Queries | The rapid proliferation of heterogeneous data in government and industry presents increasing challenges for users seeking to retrieve actionable insights across both structured and unstructured source… | https://aclanthology.org/2025.realm-1.17/ |
ACL | 2,025 | A Couch Potato is not a Potato on a Couch: Prompting Strategies, Image Generation, and Compositionality Prediction for Noun Compounds | We explore the role of the visual modality and of vision transformers in predicting the compositionality of English noun compounds. Crucially, we contribute a framework to address the challenge of obt… | https://aclanthology.org/2025.findings-acl.561/ |
ACL | 2,025 | A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides | We examine audience-specific how-to guides on wikiHow, in English, diachronically by comparing predictions from fine-tuned language models and human judgments. Using both early and revised versions, w… | https://aclanthology.org/2025.gebnlp-1.22/ |
ACL | 2,025 | A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models | Large Language Models (LLMs) are cutting-edge generative AI models built on transformer architecture, which tend to be highly memory-intensive when performing real-time inference. Various strategies h… | https://aclanthology.org/2025.acl-long.482/ |
ACL | 2,025 | A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs | As large language models (LLMs) are increasingly deployed across diverse linguistic and cultural contexts, understanding their behavior in both factual and disputable scenarios is essential—especially… | https://aclanthology.org/2025.acl-srw.38/ |
ACL | 2,025 | A Dual-Mind Framework for Strategic and Expressive Negotiation Agent | Negotiation agents need to influence the attitudes or intentions of users to reach a consensus. Strategy planning and expressive optimization are crucial aspects of effective negotiations. However, pr… | https://aclanthology.org/2025.acl-long.1161/ |
ACL | 2,025 | A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability | In NLG meta-evaluation, evaluation metrics are typically assessed based on their consistency with humans. However, we identify some limitations in traditional NLG meta-evaluation approaches, such as i… | https://aclanthology.org/2025.acl-long.1327/ |
ACL | 2,025 | A Framework for Fine-Grained Complexity Control in Health Answer Generation | Health literacy plays a critical role in ensuring people can access, understand, and act on medical information. However, much of the health content available today is too complex for many people, and… | https://aclanthology.org/2025.acl-srw.87/ |
ACL | 2,025 | A Framework for Flexible Extraction of Clinical Event Contextual Properties from Electronic Health Records | Electronic Health Records contain vast amounts of valuable clinical data, much of which is stored as unstructured text. Extracting meaningful clinical events (e.g., disorders, symptoms, findings, medi… | https://aclanthology.org/2025.acl-industry.66/ |
ACL | 2,025 | A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment | We developed a methodology and a framework for automatically evaluating and filtering large-scale parallel corpora for neural machine translation (NMT). We applied six modern Quality Estimation (QE) m… | https://aclanthology.org/2025.unlp-1.9/ |
ACL | 2,025 | A Framework for Proficiency-Aligned Grammar Practice in LLM-Based Dialogue Systems | Communicative practice is critical for second language development, yet learners often lack targeted, engaging opportunities to use new grammar structures. While large language models (LLMs) can offer… | https://aclanthology.org/2025.bea-1.74/ |
ACL | 2,025 | A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models | Recent advances in Large Language Models (LLMs) have shown promise in automating discourse annotation for conversations. While manually designing tree annotation schemes significantly improves annotat… | https://aclanthology.org/2025.findings-acl.818/ |
ACL | 2,025 | A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit | The conversational capabilities of Large Language Models (LLMs) suggest that they may be able to perform as automated talk therapists. It is crucial to know if these systems would be effective and adh… | https://aclanthology.org/2025.findings-acl.1283/ |
ACL | 2,025 | A General Framework to Enhance Fine-tuning-based LLM Unlearning | Unlearning has been proposed to remove copyrighted and privacy-sensitive data from Large Language Models (LLMs). Existing approaches primarily rely on fine-tuning-based methods, which can be categoriz… | https://aclanthology.org/2025.findings-acl.949/ |
ACL | 2,025 | A General Knowledge Injection Framework for ICD Coding | ICD Coding aims to assign a wide range of medical codes to a medical text document, which is a popular and challenging task in the healthcare domain. To alleviate the problems of long-tail distributio… | https://aclanthology.org/2025.findings-acl.374/ |
ACL | 2,025 | A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning | Recent Continual Learning (CL)-based Temporal Knowledge Graph Reasoning (TKGR) methods focus on significantly reducing computational cost and mitigating catastrophic forgetting caused by fine-tuning m… | https://aclanthology.org/2025.acl-long.537/ |
ACL | 2,025 | A GitHub-based Workflow for Annotated Resource Development | Computational linguists have long recognized the value of version control systems such as Git (and related platforms, e.g., GitHub) when it comes to managing and distributing computer code. However, t… | https://aclanthology.org/2025.law-1.27/ |
ACL | 2,025 | A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents | Large Language Models (LLMs) augmented with external tools have demonstrated remarkable capabilities in complex problem solving. Existing efforts for tool utilization typically involve an LLM agent th… | https://aclanthology.org/2025.findings-acl.1149/ |
ACL | 2,025 | A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment | This paper introduces the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale, fine-grained dataset for Arabic readability assessment. BAREC consists of 69,441 sentences spanning 1+ m… | https://aclanthology.org/2025.findings-acl.842/ |
ACL | 2,025 | A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant | Virtual Teaching Assistants (VTAs) powered by Large Language Models (LLMs) have the potential to enhance student learning by providing instant feedback and facilitating multi-turn interactions. Howeve… | https://aclanthology.org/2025.acl-industry.60/ |
ACL | 2,025 | A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences | While progress has been made in legal applications, law reasoning, crucial for fair adjudication, remains unexplored. We propose a transparent law reasoning schema enriched with hierarchical factum pr… | https://aclanthology.org/2025.findings-acl.887/ |
ACL | 2,025 | A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity | We analyze the syntactic sensitivity of Text-to-Speech (TTS) systems using methods inspired by psycholinguistic research. Specifically, we focus on the generation of intonational phrase boundaries, wh… | https://aclanthology.org/2025.conll-1.9/ |
ACL | 2,025 | A Little Human Data Goes A Long Way | Faced with an expensive human annotation process, creators of NLP systems increasingly turn to synthetic data generation. While this method shows promise, the extent to which synthetic data can replac… | https://aclanthology.org/2025.acl-short.30/ |
ACL | 2,025 | A MISMATCHED Benchmark for Scientific Natural Language Inference | Scientific Natural Language Inference (NLI) is the task of predicting the semantic relation between a pair of sentences extracted from research articles. Existing datasets for this task are derived fr… | https://aclanthology.org/2025.findings-acl.1109/ |
ACL | 2,025 | A Measure of the System Dependence of Automated Metrics | Automated metrics for Machine Translation have made significant progress, with the goal of replacing expensive and time-consuming human evaluations. These metrics are typically assessed by their corre… | https://aclanthology.org/2025.acl-short.8/ |
ACL | 2,025 | A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment | High computation costs and latency of large language models such as GPT-4 have limited their deployment in clinical settings. Small language models (SLMs) offer a cost-effective alternative, but their… | https://aclanthology.org/2025.acl-long.950/ |
ACL | 2,025 | A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance | Detecting harmful content is a crucial task in the landscape of NLP applications for Social Good, with hate speech being one of its most dangerous forms. But what do we mean by hate speech, how can we… | https://aclanthology.org/2025.woah-1.45/ |
ACL | 2,025 | A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos | Large Reasoning Models (LRMs) have significantly advanced beyond traditional Large Language Models (LLMs) with their exceptional logical reasoning capabilities, yet these improvements introduce height… | https://aclanthology.org/2025.findings-acl.408/ |
ACL | 2,025 | A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops | Agentic AI systems use specialized agents to handle tasks within complex workflows, enabling automation and efficiency. However, optimizing these systems often requires labor-intensive, manual adjustm… | https://aclanthology.org/2025.realm-1.4/ |
ACL | 2,025 | A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems | Privacy policies inform users about data collection and usage, yet their complexity limits accessibility for diverse populations. Existing Privacy Policy Question Answering (QA) systems exhibit perfor… | https://aclanthology.org/2025.acl-long.1554/ |
ACL | 2,025 | A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs | Temporal knowledge graph reasoning aims to predict future events with knowledge of existing facts and plays a key role in various downstream tasks. Previous methods focused on either graph structure l… | https://aclanthology.org/2025.findings-acl.1056/ |
ACL | 2,025 | A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information | Online discourse is increasingly trapped in a vicious cycle where polarizing language fuelstoxicity and vice versa. Identity, one of the most divisive issues in modern politics, oftenincreases polariz… | https://aclanthology.org/2025.findings-acl.966/ |
ACL | 2,025 | A Multi-persona Framework for Argument Quality Assessment | Argument quality assessment faces inherent challenges due to its subjective nature, where different evaluators may assign varying quality scores for an argument based on personal perspectives. Althoug… | https://aclanthology.org/2025.acl-long.593/ |
ACL | 2,025 | A Mutual Information Perspective on Knowledge Graph Embedding | Knowledge graph embedding techniques have emerged as a critical approach for addressing the issue of missing relations in knowledge graphs. However, existing methods often suffer from limitations, inc… | https://aclanthology.org/2025.acl-long.1077/ |
ACL | 2,025 | A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity | This paper proposes formulating Zipf’s meaning-frequency law, the power law between word frequency and the number of meanings, as a relationship between word frequency and contextual diversity. The pr… | https://aclanthology.org/2025.acl-long.744/ |
ACL | 2,025 | A Novel Dataset for Classifying German Hate Speech Comments with Criminal Relevance | The consistently high prevalence of hate speech on the Internet continues to pose significant social and individual challenges. Given the centrality of social networks in public discourse, automating … | https://aclanthology.org/2025.woah-1.4/ |
ACL | 2,025 | A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions | The development of large language models (LLMs) offers a feasible approach to simulating complex behavioral patterns of individuals, enabling the reconstruction of microscopic and realistic human soci… | https://aclanthology.org/2025.acl-industry.94/ |
ACL | 2,025 | A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models | Current vision-language models (VLMs) understand complex vision-text tasks by extracting overall semantic information from large-scale cross-modal associations. However, extracting from large-scale cr… | https://aclanthology.org/2025.acl-long.1514/ |
ACL | 2,025 | A Persona-Aware LLM-Enhanced Framework for Multi-Session Personalized Dialogue Generation | Multi-session personalized dialogue generation is one of the most important topics in open-domain dialogue. It aims to generate responses consistent with the dialogue history and personality informati… | https://aclanthology.org/2025.findings-acl.5/ |
ACL | 2,025 | A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest | The advent of Large Language Models (LLMs) has transformed how complex tasks across various domains can be automated. One of the industry trends today is Agentic AI, which leverages LLMs to operate mu… | https://aclanthology.org/2025.acl-industry.27/ |
ACL | 2,025 | A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs | The advancement of Large Language Models (LLMs) has led to significant improvements in various service domains, including search, recommendation, and chatbot applications.However, applying state-of-th… | https://aclanthology.org/2025.acl-industry.107/ |
ACL | 2,025 | A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish | Interlinear gloss generation aims to predict linguistic annotations (gloss) for a sentence in a language that is usually under ongoing documentation. Such output is a first draft for the linguist to w… | https://aclanthology.org/2025.fieldmatters-1.6/ |
ACL | 2,025 | A Query-Response Framework for Whole-Page Complex-Layout Document Image Translation with Relevant Regional Concentration | Document Image Translation (DIT), which aims at translating documents in images from source language to the target, plays an important role in Document Intelligence. It requires a comprehensive unders… | https://aclanthology.org/2025.findings-acl.372/ |
ACL | 2,025 | A Reality Check on Context Utilisation for Retrieval-Augmented Generation | Retrieval-augmented generation (RAG) helps address the limitations of parametric knowledge embedded within a language model (LM). In real world settings, retrieved information can vary in complexity, … | https://aclanthology.org/2025.acl-long.968/ |
ACL | 2,025 | A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment | Cross-lingual stance detection identifies users’ attitudes toward specific targets in texts by transferring knowledge from source languages to target languages. Previous studies have typically facilit… | https://aclanthology.org/2025.findings-acl.1115/ |
ACL | 2,025 | A Representation Level Analysis of NMT Model Robustness to Grammatical Errors | Understanding robustness is essential for building reliable NLP systems. Unfortunately, in the context of machine translation, previous work mainly focused on documenting robustness failures or improv… | https://aclanthology.org/2025.findings-acl.451/ |
ACL | 2,025 | A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny | In this reproduction study, we revisit recent claims that self-attention implements kernel principal component analysis (KPCA) (Teo and Nguyen, 2024), positing that (i) value vectors V capture the eig… | https://aclanthology.org/2025.acl-srw.11/ |
ACL | 2,025 | A Retrieval-Based Approach to Medical Procedure Matching in Romanian | Accurately mapping medical procedure names from healthcare providers to standardized terminology used by insurance companies is a crucial yet complex task. Inconsistencies in naming conventions lead t… | https://aclanthology.org/2025.bionlp-1.15/ |
ACL | 2,025 | A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI | Disagreement in human labeling is ubiquitous, and can be captured in human judgment distributions (HJDs). Recent research has shown that explanations provide valuable information for understanding hum… | https://aclanthology.org/2025.findings-acl.562/ |
ACL | 2,025 | A Self-Denoising Model for Robust Few-Shot Relation Extraction | The few-shot relation extraction (FSRE) aims at enhancing the model’s generalization to new relations with very few labeled instances (support instances). Most existing studies use prototype networks … | https://aclanthology.org/2025.acl-long.1299/ |
ACL | 2,025 | A Self-Distillation Recipe for Neural Machine Translation | Self-distillation distills the deeper sub-networks to the shallower sub-networks without using an extra teacher model, and has been proven effective in improving the performance of a series of compute… | https://aclanthology.org/2025.findings-acl.261/ |
ACL | 2,025 | A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation | Back-translation has been proven effective in enhancing the performance of Neural Machine Translation (NMT), with its core mechanism relying on synthesizing parallel corpora to strengthen model traini… | https://aclanthology.org/2025.acl-srw.35/ |
ACL | 2,025 | A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models | Finetuning language models (LMs) is crucial for adapting the models to downstream data and tasks. However, full finetuning is usually costly. Existing work, such as parameter-efficient finetuning (PEF… | https://aclanthology.org/2025.findings-acl.420/ |
ACL | 2,025 | A Semi-supervised Scalable Unified Framework for E-commerce Query Classification | Query classification, including multiple subtasks such as intent and category prediction, is a vital part of e-commerce applications. E-commerce queries are usually short and lack context, and the inf… | https://aclanthology.org/2025.acl-industry.88/ |
ACL | 2,025 | A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression | In this work, we provide an empirical investigation of gist-based context compression methods to improve context processing in large language models. We focus on two key questions: (1) How well can th… | https://aclanthology.org/2025.acl-long.241/ |
ACL | 2,025 | A Simple but Effective Context Retrieval for Sequential Sentence Classification in Long Legal Documents | Sequential sentence classification extends traditional classification, especially useful when dealing with long documents. However, state-of-the-art approaches face two major challenges: pre-trained l… | https://aclanthology.org/2025.argmining-1.15/ |
ACL | 2,025 | A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior | Reading is a process that unfolds across space and time, alternating between fixations where a reader focuses on a specific point in space, and saccades where a reader rapidly shifts their focus to a … | https://aclanthology.org/2025.acl-long.1474/ |
ACL | 2,025 | A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models | The lack of data transparency in Large Language Models (LLMs) has highlighted the importance of Membership Inference Attack (MIA), which differentiates trained (member) and untrained (non-member) data… | https://aclanthology.org/2025.acl-long.1114/ |
ACL | 2,025 | A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis | While data synthesis and distillation are promising strategies to enhance small language models, current approaches heavily rely on Large Language Models (LLMs), which suffer from high computational c… | https://aclanthology.org/2025.acl-long.566/ |
ACL | 2,025 | A Study into Investigating Temporal Robustness of LLMs | Large Language Models (LLMs) encapsulate a surprising amount of factual world knowledge. However, their performance on temporal questions and historical knowledge is limited because they often cannot … | https://aclanthology.org/2025.findings-acl.810/ |
ACL | 2,025 | A Study on Leveraging Search and Self-Feedback for Agent Reasoning | Recent works have demonstrated that incorporating search during inference can significantly improve reasoning capabilities of language agents. Some approaches may make use of the ground truth or rely … | https://aclanthology.org/2025.realm-1.18/ |
ACL | 2,025 | A Survey of LLM-based Agents in Medicine: How far are we from Baymax? | Large Language Models (LLMs) are transforming healthcare through LLM-based agents that can understand and assist with medical tasks. This survey examines the architectures, applications, and challenge… | https://aclanthology.org/2025.findings-acl.539/ |
ACL | 2,025 | A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions | Mental health is increasingly critical in contemporary healthcare, with psychotherapy demanding dynamic, context-sensitive interactions that traditional NLP methods struggle to capture. Large Language… | https://aclanthology.org/2025.findings-acl.385/ |
ACL | 2,025 | A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges | Mathematical reasoning, a core aspect of human cognition, is vital across many domains, from educational problem-solving to scientific advancements. As artificial general intelligence (AGI) progresses… | https://aclanthology.org/2025.findings-acl.614/ |
ACL | 2,025 | A Survey of Post-Training Scaling in Large Language Models | Large language models (LLMs) have achieved remarkable proficiency in understanding and generating human natural languages, mainly owing to the “scaling law” that optimizes relationships among language… | https://aclanthology.org/2025.acl-long.140/ |
ACL | 2,025 | A Survey of Uncertainty Estimation Methods on Large Language Models | Large language models (LLMs) have demonstrated remarkable capabilities across various tasks. However, these models could offer biased, hallucinated, or non-factual responses camouflaged by their fluen… | https://aclanthology.org/2025.findings-acl.1101/ |
ACL | 2,025 | A Survey on Automated Distractor Evaluation in Multiple-Choice Tasks | Multiple-Choice Tasks are one of the most common types of assessment item, due to their feature of being easy to automatically and objectively grade. A key component of Multiple-Choice Tasks are distr… | https://aclanthology.org/2025.bea-1.5/ |
ACL | 2,025 | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives | Post-training of Large Language Models (LLMs) is crucial for unlocking their task generalization potential and domain-specific capabilities. However, the current LLM post-training paradigm faces signi… | https://aclanthology.org/2025.acl-long.1493/ |
ACL | 2,025 | A Survey on Foundation Language Models for Single-cell Biology | The recent advancements in language models have significantly catalyzed progress in computational biology. A growing body of research strives to construct unified foundation models for single-cell bio… | https://aclanthology.org/2025.acl-long.26/ |
ACL | 2,025 | A Survey on Patent Analysis: From NLP to Multimodal AI | Recent advances in Pretrained Language Models (PLMs) and Large Language Models (LLMs) have demonstrated transformative capabilities across diverse domains. The field of patent analysis and innovation … | https://aclanthology.org/2025.acl-long.419/ |
ACL | 2,025 | A Survey on Personalized Alignment—The Missing Piece for Large Language Models in Real-World Applications | Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their transition to real-world applications reveals a critical limitation: the inability to adapt to individual preferences … | https://aclanthology.org/2025.findings-acl.277/ |
ACL | 2,025 | A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models | The widespread deployment of large language models (LLMs) across critical domains has amplified the societal risks posed by algorithmically generated misinformation. Unlike traditional false content, … | https://aclanthology.org/2025.findings-acl.933/ |
ACL | 2,025 | A Systematic Study of Compositional Syntactic Transformer Language Models | Syntactic language models (SLMs) enhance Transformers by incorporating syntactic biases through the modeling of linearized syntactic parse trees alongside surface sentences. This paper focuses on comp… | https://aclanthology.org/2025.acl-long.350/ |
ACL | 2,025 | A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation | Ensuring factual consistency in summarization remains a challenge, especially for long-document evaluation. While automated, reference-free evaluation models are essential given the impracticality of … | https://aclanthology.org/2025.findings-acl.648/ |
ACL | 2,025 | A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens | Text embeddings from large language models (LLMs) have achieved excellent results in tasks such as information retrieval, semantic textual similarity, etc. In this work, we show an interesting finding… | https://aclanthology.org/2025.acl-long.379/ |
ACL | 2,025 | A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive | Large Language Models (LLMs) are increasingly utilized in autonomous decision-making, where they sample options from vast action spaces. However, the heuristics that guide this sampling process remain… | https://aclanthology.org/2025.acl-long.1454/ |
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AI Conference & Journal Papers
Searchable metadata for papers from top AI venues (NeurIPS, ICML, ICLR, CVPR, ICCV, WACV, ACL, EMNLP, NAACL).
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