Cover Image

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hsu, Sheryl, Khattab, Omar, Finn, Chelsea, Sharma, Archit
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RLVF: Learning from Verbal Feedback without Overgeneralization
by: Stephan, Moritz, et al.
Published: (2024)

FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users
by: Singh, Anikait, et al.
Published: (2025)

MemER: Scaling Up Memory for Robot Control via Experience Retrieval
by: Sridhar, Ajay, et al.
Published: (2025)

A Critical Evaluation of AI Feedback for Aligning Large Language Models
by: Sharma, Archit, et al.
Published: (2024)

EXPO: Stable Reinforcement Learning with Expressive Policies
by: Dong, Perry, et al.
Published: (2025)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)

Reinforcement Learning via Implicit Imitation Guidance
by: Dong, Perry, et al.
Published: (2025)

Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
by: Mark, Max Sobol, et al.
Published: (2024)

Polychromic Objectives for Reinforcement Learning
by: Hamid, Jubayer Ibn, et al.
Published: (2025)

Affordance-Guided Reinforcement Learning via Visual Prompting
by: Lee, Olivia Y., et al.
Published: (2024)

Yell At Your Robot: Improving On-the-Fly from Language Corrections
by: Shi, Lucy Xiaoyang, et al.
Published: (2024)

Maximum Entropy Reinforcement Learning with Diffusion Policy
by: Dong, Xiaoyi, et al.
Published: (2025)

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning
by: Xiang, Violet, et al.
Published: (2025)

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
by: Xie, Johnathan, et al.
Published: (2024)

Universal Neural Functionals
by: Zhou, Allan, et al.
Published: (2024)

Learning Long-Context Diffusion Policies via Past-Token Prediction
by: Torne, Marcel, et al.
Published: (2025)

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
by: Tan, Zhewen, et al.
Published: (2026)

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
by: Soylu, Dilara, et al.
Published: (2024)

FASTER: Value-Guided Sampling for Fast RL
by: Dong, Perry, et al.
Published: (2026)

Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods
by: Wang, Tony, et al.
Published: (2025)

Contrastive Preference Learning: Learning from Human Feedback without RL
by: Hejna, Joey, et al.
Published: (2023)

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
by: Qu, Yuxiao, et al.
Published: (2025)

Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
by: Shen, Judy Hanwen, et al.
Published: (2024)

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
by: Putta, Pranav, et al.
Published: (2024)

Value Flows
by: Dong, Perry, et al.
Published: (2025)

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
by: Gu, Zhuohan, et al.
Published: (2026)

Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
by: Rietz, Finn, et al.
Published: (2024)

Reinforcement Learning Enhanced LLMs: A Survey
by: Wang, Shuhe, et al.
Published: (2024)

Curating Demonstrations using Online Experience
by: Chen, Annie S., et al.
Published: (2025)

On the Effective Horizon of Inverse Reinforcement Learning
by: Xu, Yiqing, et al.
Published: (2023)

TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse
by: Dong, Perry, et al.
Published: (2026)

Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
by: Anand, Avinash, et al.
Published: (2024)

Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs
by: Zhang, Honglin, et al.
Published: (2025)

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
by: Rafailov, Rafael, et al.
Published: (2024)

Compositional Learning of Visually-Grounded Concepts Using Reinforcement
by: Lin, Zijun, et al.
Published: (2023)

Efficient Data Collection for Robotic Manipulation via Compositional Generalization
by: Gao, Jensen, et al.
Published: (2024)

Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
by: Wagenmaker, Andrew, et al.
Published: (2025)

Conservative Prediction via Data-Driven Confidence Minimization
by: Choi, Caroline, et al.
Published: (2023)

Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
by: Jian, Chengtao, et al.
Published: (2024)

Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
by: Zhang, Lunjun, et al.
Published: (2026)