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20232025
most citedQ-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

1 citations · 2 across the 7 of their papers we have counts for

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cs.CL2025

Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL

Joey Hong, Anca Dragan, Sergey Levine

Large language models (LLMs) excel in tasks like question answering and dialogue, but complex tasks requiring interaction, such as negotiation and persuasion, require additional lo…

cs.CL2023

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

Marwa Abdulhai, Isadora White, Charlie Snell +5

Large language models (LLMs) provide excellent text-generation capabilities, but standard prompting and generation methods generally do not lead to intentional or goal-directed age…