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I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 30 -
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
Evgenij Dedov
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I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 30 -
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
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