Meta-Reinforcement Learning with Self-Reflection for Agentic Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Teng, Yuan, Yige, Ivison, Hamish, Zhu, Huaisheng, Brahman, Faeze, Lambert, Nathan, Dasigi, Pradeep, Smith, Noah A., Hajishirzi, Hannaneh
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large-Scale Data Selection for Instruction Tuning
by: Ivison, Hamish, et al.
Published: (2025)

Generalizing Verifiable Instruction Following
by: Pyatkin, Valentina, et al.
Published: (2025)

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
by: Miranda, Lester James V., et al.
Published: (2024)

Small Reward Models via Backward Inference
by: Wang, Yike, et al.
Published: (2026)

HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
by: Lyu, Xinxi, et al.
Published: (2024)

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
by: Ivison, Hamish, et al.
Published: (2024)

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
by: Morrison, Jacob, et al.
Published: (2024)

Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)

The Art of Saying No: Contextual Noncompliance in Language Models
by: Brahman, Faeze, et al.
Published: (2024)

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
by: Shao, Rulin, et al.
Published: (2025)

Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, Nathan, et al.
Published: (2024)

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
by: Xiao, Teng, et al.
Published: (2024)

Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
by: Xu, Hao, et al.
Published: (2025)

RewardBench 2: Advancing Reward Model Evaluation
by: Malik, Saumya, et al.
Published: (2025)

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, et al.
Published: (2024)

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)

ReFIT: Relevance Feedback from a Reranker during Inference
by: Reddy, Revanth Gangi, et al.
Published: (2023)

TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
by: Graf, Victoria, et al.
Published: (2026)

Set the Clock: Temporal Alignment of Pretrained Language Models
by: Zhao, Bowen, et al.
Published: (2024)

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
by: Poddar, Sriyash, et al.
Published: (2024)

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
by: Jung, Jaehun, et al.
Published: (2024)

ComPO: Community Preferences for Language Model Personalization
by: Kumar, Sachin, et al.
Published: (2024)

Simple and Asymmetric Graph Contrastive Learning without Augmentations
by: Xiao, Teng, et al.
Published: (2023)

3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
by: Zhu, Huaisheng, et al.
Published: (2024)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
by: Baheti, Ashutosh, et al.
Published: (2023)

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
by: Kim, Joongwon, et al.
Published: (2025)

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
by: Zeng, Zhiyuan, et al.
Published: (2025)

Reinforcement Learning from Human Feedback
by: Lambert, Nathan
Published: (2025)

Evaluating In-Context Learning of Libraries for Code Generation
by: Patel, Arkil, et al.
Published: (2023)

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
by: Min, Sewon, et al.
Published: (2023)

Decoding-Time Language Model Alignment with Multiple Objectives
by: Shi, Ruizhe, et al.
Published: (2024)

Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)

MolBind: Multimodal Alignment of Language, Molecules, and Proteins
by: Xiao, Teng, et al.
Published: (2024)

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
by: Xiao, Teng, et al.
Published: (2024)

Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
by: Merrill, William, et al.
Published: (2025)

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
by: Wang, Yike, et al.
Published: (2025)

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
by: Cao, Qingqing, et al.
Published: (2023)