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The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input
6 January 2025
Alon Jacovi
Andrew Wang
Chris Alberti
Connie Tao
Jon Lipovetz
Kate Olszewska
Lukas Haas
Michelle Liu
Nate Keating
Adam Bloniarz
Carl Saroufim
Corey Fry
Dror Marcus
Doron Kukliansky
Gaurav Singh Tomar
James Swirhun
Jinwei Xing
Lily Wang
Madhu Gurumurthy
Michael Aaron
Moran Ambar
Rachana Fellinger
Rui Wang
Zizhao Zhang
Sasha Goldshtein
Dipanjan Das
HILM
ALM
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Papers citing
"The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input"
6 / 6 papers shown
Title
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
D. Sculley
Will Cukierski
Phil Culliton
Sohier Dane
Maggie Demkin
...
Addison Howard
Paul Mooney
Walter Reade
Megan Risdal
Nate Keating
31
0
0
01 May 2025
ConSens: Assessing context grounding in open-book question answering
Ivan Vankov
Matyo Ivanov
Adriana Correia
Victor Botev
ELM
65
0
0
30 Apr 2025
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Bang An
Shiyue Zhang
Mark Dredze
61
0
0
25 Apr 2025
HalluLens: LLM Hallucination Benchmark
Yejin Bang
Ziwei Ji
Alan Schelten
Anthony Hartshorn
Tara Fowler
Cheng Zhang
Nicola Cancedda
Pascale Fung
HILM
92
0
0
24 Apr 2025
Kanana: Compute-efficient Bilingual Language Models
Kanana LLM Team
Yunju Bak
Hojin Lee
Minho Ryu
Jiyeon Ham
...
Daniel Lee
Minchul Lee
M. Lee
Shinbok Lee
Gaeun Seo
92
1
0
26 Feb 2025
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
Matthew Barker
Andrew Bell
Evan Thomas
James Carr
Thomas Andrews
Umang Bhatt
87
1
0
25 Feb 2025
1