Results 211 to 220 of about 776,676 (312)

From Concept to Perception: Equestrian Definitions of Harmony and Visual Attention in Horse-Rider Evaluation. [PDF]

Animals (Basel)
Wolframm IA, Everding M, Savulchyk V, Borssen J, Gudden DDM.   +4 more
europepmc   +1 more source

A plain language review of the ATTRibute-CM study: efficacy and safety of acoramidis in transthyretin amyloid cardiomyopathy. [PDF]

Future Cardiol
Gillmore JD, Judge DP, Cappelli F, Fontana M, Garcia-Pavia P, Gibbs S, Grogan M, Hanna M, Hoffman J, Masri A, Maurer MS, Nativi-Nicolau J, Obici L, Poulsen SH, Rockhold F, Shah KB, Soman P, Garg J, Chiswell K, Xu H, Cao X, Lystig T, Sinha U, Fox JC, ATTRibute-CM Investigators.   +24 more
europepmc   +1 more source

Effectiveness of Treatment Modalities for the Correction of Anterior Crossbite in Children: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. [PDF]

Cureus
Kourbaj YM, Hajeer MY, Burhan AS, Alam MK, Abutayyem H.   +4 more
europepmc   +1 more source

A Suite of LMs Comprehend Puzzle Statements as Well or Better Than Humans. [PDF]

Open Mind (Camb)
Rakshit S, Hu J, Mahowald K, Goldberg AE.   +3 more
europepmc   +1 more source

Native speakers are more likeable and knowledgeable, but foreign speakers are not bad: Disentangling language-based social preferences in early childhood. [PDF]

Dev Psychol
Zeng D, Hwang HG, Burke N, Woodward A.
europepmc   +1 more source

Hazardous Alcohol Consumption Depicted in YouTube Videos: A Content Analysis. [PDF]

Cureus
Bartkowiak CN, Dean L, King D, Ulrich E, Steward S, Lindemann E, Padley MA, Lewis BG, Judge B, Jones JS.   +9 more
europepmc   +1 more source

The Rationality of Judging and Judges

, 2012
openaire   +1 more source

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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena

Neural Information Processing Systems, 2023
Evaluating large language model (LLM) based chat assistants is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To address this, we explore using strong LLMs as judges to evaluate these
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, E. Xing, Haotong Zhang, Joseph E. Gonzalez, Ion Stoica   +12 more
semanticscholar   +1 more source

Preference Leakage: A Contamination Problem in LLM-as-a-judge

arXiv.org
Large Language Models (LLMs) as judges and LLM-based data synthesis have emerged as two fundamental LLM-driven data annotation methods in model development.
Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu   +8 more
semanticscholar   +1 more source