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Reward Is Enough: LLMs Are In-Context Reinforcement Learners

Reward Is Enough: LLMs Are In-Context Reinforcement Learners

Kefan Song
Amir Moeini
Peng Wang
Lei Gong
Rohan Chandra
Yanjun Qi
Shangtong Zhang
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Papers citing "Reward Is Enough: LLMs Are In-Context Reinforcement Learners"

2 / 2 papers shown
Title
LLM-First Search: Self-Guided Exploration of the Solution Space
Nathan Herr
Tim Rocktaschel
Roberta Raileanu
LRM
148
0
0
05 Jun 2025
Can large language models explore in-context?
Can large language models explore in-context?
Akshay Krishnamurthy
Keegan Harris
Dylan J. Foster
Cyril Zhang
Aleksandrs Slivkins
LM&RoLLMAGLRM
278
29
0
22 Mar 2024