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MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

16 April 2024
Liyan Tang
Philippe Laban
Greg Durrett
    HILM
    SyDa
ArXivPDFHTML

Papers citing "MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents"

20 / 20 papers shown
Title
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking
Luigia Costabile
Gian Marco Orlando
V. Gatta
V. Moscato
31
0
0
24 Apr 2025
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
Yashar Deldjoo
Nikhil Mehta
M. Sathiamoorthy
Shuai Zhang
Pablo Castells
Julian McAuley
EGVM
ELM
64
1
0
09 Apr 2025
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
Aliyah R. Hsu
James Zhu
Zhichao Wang
Bin Bi
Shubham Mehrotra
...
Sougata Chaudhuri
Regunathan Radhakrishnan
S. Asur
Claire Na Cheng
Bin Yu
ALM
LRM
67
0
0
20 Feb 2025
Learning to Summarize from LLM-generated Feedback
Learning to Summarize from LLM-generated Feedback
Hwanjun Song
Taewon Yun
Yuho Lee
Jihwan Oh
Gihun Lee
Jason (Jinglun) Cai
Hang Su
73
1
0
28 Jan 2025
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
Ameya Godbole
Robin Jia
HILM
49
1
0
24 Jan 2025
FactLens: Benchmarking Fine-Grained Fact Verification
FactLens: Benchmarking Fine-Grained Fact Verification
Kushan Mitra
Dan Zhang
Sajjadur Rahman
Estevam R. Hruschka
HILM
32
1
0
08 Nov 2024
Improving Model Factuality with Fine-grained Critique-based Evaluator
Improving Model Factuality with Fine-grained Critique-based Evaluator
Yiqing Xie
Wenxuan Zhou
Pradyot Prakash
Di Jin
Yuning Mao
...
Sinong Wang
Han Fang
Carolyn Rose
Daniel Fried
Hejia Zhang
HILM
30
5
0
24 Oct 2024
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
Catarina G. Belem
Pouya Pezeskhpour
Hayate Iso
Seiji Maekawa
Nikita Bhutani
Estevam R. Hruschka
HILM
65
1
0
17 Oct 2024
CoverBench: A Challenging Benchmark for Complex Claim Verification
CoverBench: A Challenging Benchmark for Complex Claim Verification
Alon Jacovi
Moran Ambar
Eyal Ben-David
Uri Shaham
Amir Feder
Mor Geva
Dror Marcus
Avi Caciularu
LMTD
45
3
0
06 Aug 2024
STORYSUMM: Evaluating Faithfulness in Story Summarization
STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah
Faisal Ladhak
Akankshya Mishra
Griffin Adams
Lydia B. Chilton
Kathleen McKeown
34
4
0
09 Jul 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
27
17
0
08 Jul 2024
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
Zeyu Leo Liu
Shrey Pandit
Xi Ye
Eunsol Choi
Greg Durrett
KELM
ALM
53
4
0
08 Jul 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Philippe Laban
Alexander R. Fabbri
Caiming Xiong
Chien-Sheng Wu
RALM
33
41
0
01 Jul 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
27
4
0
31 Jan 2024
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
78
246
0
22 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
201
283
0
03 May 2023
Exploring Decomposition for Table-based Fact Verification
Exploring Decomposition for Table-based Fact Verification
Xiaoyu Yang
Xiao-Dan Zhu
ReLM
48
22
0
22 Sep 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
170
144
0
30 Aug 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Linguistically-Informed Transformations (LIT): A Method for
  Automatically Generating Contrast Sets
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
Chuanrong Li
Lin Shengshuo
Leo Z. Liu
Xinyi Wu
Xuhui Zhou
Shane Steinert-Threlkeld
VLM
115
38
0
16 Oct 2020
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