I-Con: A Unifying Framework for Representation Learning
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2504.16929
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Published
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30
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LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 20 -
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Paper • 2504.15785 • Published • 19 -
OTC: Optimal Tool Calls via Reinforcement Learning
Paper • 2504.14870 • Published • 33 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 97 -
ReasonIR: Training Retrievers for Reasoning Tasks
Paper • 2504.20595 • Published • 55 -
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 • 27 -
SWE-smith: Scaling Data for Software Engineering Agents
Paper • 2504.21798 • Published • 10 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 126