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An Information Bottleneck Perspective for Effective Noise Filtering on
  Retrieval-Augmented Generation
v1v2 (latest)

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation

3 June 2024
Kun Zhu
Xiaocheng Feng
Xiyuan Du
Yuxuan Gu
Weijiang Yu
Haotian Wang
Qianglong Chen
Zheng Chu
Jingchang Chen
Bing Qin
ArXiv (abs)PDFHTMLGithub (19★)

Papers citing "An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation"

8 / 8 papers shown
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
Shenxu Chang
Junchi Yu
Weixing Wang
Yongqiang Chen
Jialin Yu
Philip Torr
Jindong Gu
HILM
204
2
0
30 Sep 2025
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Jiale Deng
Yanyan Shen
Ziyuan Pei
Youmin Chen
Linpeng Huang
474
3
0
21 Sep 2025
Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation
Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation
Xinping Zhao
Shouzheng Huang
Yan Zhong
Xinshuo Hu
Meishan Zhang
Baotian Hu
Min Zhang
RALMOffRL
412
0
0
21 Jul 2025
TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks
TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks
Yuanze Hu
Zhaoxin Fan
Xinyu Wang
Gen Li
Ye Qiu
...
Wenjun Wu
Kejian Wu
Yifan Sun
Xiaotie Deng
Jin Song Dong
382
2
0
19 May 2025
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
Aoran Gan
Hao Yu
Kai Zhang
Qi Liu
Wenyu Yan
Zhenya Huang
Shiwei Tong
Guoping Hu
RALM3DV
424
29
0
21 Apr 2025
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
Zhenru Zhang
Ning Li
Qi Liu
Rui Li
W. Gao
Qingyang Mao
Zhenya Huang
Baosheng Yu
Dacheng Tao
RALM
350
0
0
11 Apr 2025
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weiwei Sun
Lingyong Yan
Xinyu Ma
Shuaiqiang Wang
Sudipta Singha Roy
Zhumin Chen
D. Yin
Zhaochun Ren
RALMALMELMLRMLM&MA
880
475
0
31 Dec 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALMLM&MAELM
1.1K
895
0
09 Feb 2024
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