I-Con: A Unifying Framework for Representation Learning
Paper
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2504.16929
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Published
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29
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LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Paper • 2504.15785 • Published • 22 -
OTC: Optimal Tool Calls via Reinforcement Learning
Paper • 2504.14870 • Published • 35 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 98 -
ReasonIR: Training Retrievers for Reasoning Tasks
Paper • 2504.20595 • Published • 53 -
Taming the Titans: A Survey of Efficient LLM Inference Serving
Paper • 2504.19720 • Published • 12 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 30 -
SWE-smith: Scaling Data for Software Engineering Agents
Paper • 2504.21798 • Published • 11 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 124