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Atomic Fact Decomposition Helps Attributed Question Answering
v1v2 (latest)

Atomic Fact Decomposition Helps Attributed Question Answering

22 October 2024
Zhichao Yan
Jiashuo Wang
Jiaoyan Chen
Xiaoli Li
Ru Li
Jeff Z. Pan
    KELMHILM
ArXiv (abs)PDFHTMLGithub

Papers citing "Atomic Fact Decomposition Helps Attributed Question Answering"

8 / 8 papers shown
Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
Xiaoqi Han
Ru Li
Ran Yi
Hongye Tan
Zhuomin Liang
Víctor Gutiérrez-Basulto
Jeff Z. Pan
186
0
0
17 Nov 2025
CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs
Chengwei Wu
Jiapu Wang
Mingyang Gao
Xingrui Zhuo
Jipeng Guo
...
Haoran Luo
Tianyu Chen
Haoyi Zhou
Shirui Pan
Zechao Li
142
0
0
07 Oct 2025
Knowledge-Graph Based RAG System Evaluation Framework
Knowledge-Graph Based RAG System Evaluation Framework
Sicheng Dong
Vahid Zolfaghari
Nenad Petrovic
Alois C. Knoll
155
0
0
02 Oct 2025
Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
Memorization ≠\neq= Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
Boxiang Ma
Ru Li
Yuanlong Wang
Hongye Tan
Xiaoli Li
150
3
0
05 Sep 2025
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Tobias Schreieder
Tim Schopf
Michael Färber
HILM
227
2
0
21 Aug 2025
Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust
Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust
Hyo Jin Do
Werner Geyer
HILM
122
1
0
09 Aug 2025
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yongqi Fan
Yating Wang
Guandong Wang
Jie Zhai
Jingping Liu
Qi Ye
Tong Ruan
170
1
0
18 Jun 2025
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Juyeon Kim
Jeongeun Lee
Yoonho Chang
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
KELMLRM
516
7
0
27 Feb 2024
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