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FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper ā¢ 2508.11987 ā¢ Published ā¢ 73 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper ā¢ 2508.18265 ā¢ Published ā¢ 222 -
Less is More: Recursive Reasoning with Tiny Networks
Paper ā¢ 2510.04871 ā¢ Published ā¢ 514
Garrosh Icecream
GarroshIcecream
AI & ML interests
From tiny SLMs to massive LLMs. Iām all about text-to-text fun.
Organizations
None yet
READ ON TOILET
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Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper ā¢ 2508.09834 ā¢ Published ā¢ 53 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper ā¢ 2509.02547 ā¢ Published ā¢ 238 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper ā¢ 2509.25454 ā¢ Published ā¢ 147 -
DeMo: Decoupled Momentum Optimization
Paper ā¢ 2411.19870 ā¢ Published ā¢ 6
P(DOOM) = 1.0
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FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper ā¢ 2508.11987 ā¢ Published ā¢ 73 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper ā¢ 2508.18265 ā¢ Published ā¢ 222 -
Less is More: Recursive Reasoning with Tiny Networks
Paper ā¢ 2510.04871 ā¢ Published ā¢ 514
READ ON TOILET
-
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper ā¢ 2508.09834 ā¢ Published ā¢ 53 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper ā¢ 2509.02547 ā¢ Published ā¢ 238 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper ā¢ 2509.25454 ā¢ Published ā¢ 147 -
DeMo: Decoupled Momentum Optimization
Paper ā¢ 2411.19870 ā¢ Published ā¢ 6
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