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AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Wanjun Zhong
Ruixiang Cui
Yiduo Guo
Yaobo Liang
Shuai Lu
Yanlin Wang
Amin Saied
Weizhu Chen
Nan Duan
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Papers citing "AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models"

4 / 54 papers shown
Title
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
145
1,652
0
14 Mar 2018
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling
Dani Yogatama
Chris Dyer
Phil Blunsom
AIMat
79
729
0
11 May 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
280
8,127
0
16 Jun 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
313
4,284
0
21 Aug 2015