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Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

17 September 2024
Maojia Song
Shang Hong Sim
Rishabh Bhardwaj
Hai Leong Chieu
Navonil Majumder
Soujanya Poria
ArXivPDFHTML

Papers citing "Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse"

5 / 5 papers shown
Title
Credible plan-driven RAG method for Multi-hop Question Answering
Credible plan-driven RAG method for Multi-hop Question Answering
Ningning Zhang
Chi Zhang
Zhizhong Tan
Xingxing Yang
Weiping Deng
Wenyong Wang
LRM
17
0
0
23 Apr 2025
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction
Harsh Maheshwari
Srikanth Tenneti
Alwarappan Nakkiran
3DV
19
0
0
22 Apr 2025
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
Yan Weng
Fengbin Zhu
Tong Ye
Haoyan Liu
Fuli Feng
Tat-Seng Chua
RALM
82
1
0
10 Feb 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented
  Generation for Preference Alignment
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
Zhuoran Jin
Hongbang Yuan
Tianyi Men
Pengfei Cao
Yubo Chen
Kang-Jun Liu
Jun Zhao
ALM
73
7
0
18 Dec 2024
Training Language Models to Generate Text with Citations via
  Fine-grained Rewards
Training Language Models to Generate Text with Citations via Fine-grained Rewards
Chengyu Huang
Zeqiu Wu
Yushi Hu
Wenya Wang
HILM
LRM
57
25
0
06 Feb 2024
1