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LLM Evaluators Recognize and Favor Their Own Generations

LLM Evaluators Recognize and Favor Their Own Generations

15 April 2024

Arjun Panickssery

Samuel R. Bowman

ArXiv (abs)PDF HTML HuggingFace (2 upvotes)

Papers citing "LLM Evaluators Recognize and Favor Their Own Generations"

4 / 154 papers shown

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2024

Anna A. Ivanova

Benjamin Lipkin

...

Evelina Fedorenko

305

55

0

15 May 2024

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Samuel Schmidgall

Jeffrey Jopling

1.2K

124

0

13 May 2024

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of
Diverse Models

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Sebastian Hofstatter

Sophia Althammer

Aleksandra Piktus

Arkady Arkhangorodsky

Patrick Lewis

461

157

0

29 Apr 2024

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024

352

2

0

16 Jan 2024