Cover Image

Reward-RAG: Enhancing RAG with Reward Driven Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Thang, Chin, Peter, Tai, Yu-Wing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
by: Nguyen, Thang, et al.
Published: (2025)

Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs
by: Zhong, Shan, et al.
Published: (2024)

Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation
by: Pezeshkpour, Pouya, et al.
Published: (2025)

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
by: Xia, Tianle, et al.
Published: (2026)

Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards
by: Zhang, Yuxin, et al.
Published: (2025)

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA
by: Xu, Haozhou, et al.
Published: (2025)

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026)

P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
by: Nian, Jinming, et al.
Published: (2024)

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
by: Rezaei, Mohammad Reza, et al.
Published: (2024)

Diversity Enhances an LLM's Performance in RAG and Long-context Task
by: Wang, Zhichao, et al.
Published: (2025)

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States
by: Ridder, Fabian, et al.
Published: (2024)

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
by: Ma, Qiyao, et al.
Published: (2026)

RewardAnything: Generalizable Principle-Following Reward Models
by: Yu, Zhuohao, et al.
Published: (2025)

Structured RAG for Answering Aggregative Questions
by: Koshorek, Omri, et al.
Published: (2025)

Mitigating Bias in RAG: Controlling the Embedder
by: Kim, Taeyoun, et al.
Published: (2025)

Highlight & Summarize: RAG without the jailbreaks
by: Cherubin, Giovanni, et al.
Published: (2025)

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
by: Kachuee, Mohammad, et al.
Published: (2025)

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation
by: Min, Do June, et al.
Published: (2024)

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025)

Reward Shaping to Mitigate Reward Hacking in RLHF
by: Fu, Jiayi, et al.
Published: (2025)

AgentRM: Enhancing Agent Generalization with Reward Modeling
by: Xia, Yu, et al.
Published: (2025)

GRAM-R$^2$: Self-Training Generative Foundation Reward Models for Reward Reasoning
by: Wang, Chenglong, et al.
Published: (2025)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
by: Jin, Bowen, et al.
Published: (2024)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
by: Georgiev, Dobrik, et al.
Published: (2026)

RAGProbe: An Automated Approach for Evaluating RAG Applications
by: Sivasothy, Shangeetha, et al.
Published: (2024)

When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift
by: Le, Khoi, et al.
Published: (2026)

Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
by: Wang, Zhen, et al.
Published: (2025)

LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits
by: Nguyen, Duy, et al.
Published: (2024)

DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
by: Hu, Tianyi, et al.
Published: (2026)

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)

Reward-Robust RLHF in LLMs
by: Yan, Yuzi, et al.
Published: (2024)

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
by: Wei, Zhepei, et al.
Published: (2024)

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)

Reward-free Alignment for Conflicting Objectives
by: Chen, Peter, et al.
Published: (2026)

M-RewardBench: Evaluating Reward Models in Multilingual Settings
by: Gureja, Srishti, et al.
Published: (2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
by: Kim, Sunghwan, et al.
Published: (2025)