ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.06364
  4. Cited By
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

13 April 2023
Wanjun Zhong
Ruixiang Cui
Yiduo Guo
Yaobo Liang
Shuai Lu
Yanlin Wang
Amin Saied
Weizhu Chen
Nan Duan
    ALM
    ELM
ArXivPDFHTML

Papers citing "AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models"

50 / 54 papers shown
Title
MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models
MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models
Xuanqi Gao
Siyi Xie
Juan Zhai
Shqing Ma
Chao Shen
ELM
78
0
0
22 May 2025
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
Adam Younsi
Abdalgader Abubaker
M. Seddik
Hakim Hacid
Salem Lahlou
LRM
189
1
0
28 Apr 2025
Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark
Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark
Jasper Götting
Pedro Medeiros
Jon G Sanders
Nathaniel Li
Long Phan
Karam Elabd
Lennart Justen
Dan Hendrycks
Seth Donoughe
ELM
94
3
0
21 Apr 2025
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
Feiyang Li
Peng Fang
Zhan Shi
Arijit Khan
Fang Wang
Dan Feng
Weihao Wang
Xin Zhang
Yongjian Cui
ReLM
LRM
82
1
0
18 Apr 2025
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection
MingShan Liu
Shi Bo
Jialing Fang
LRM
51
3
0
13 Apr 2025
Large Language Models Could Be Rote Learners
Large Language Models Could Be Rote Learners
Yuyang Xu
Renjun Hu
Haochao Ying
Jian Wu
Xing Shi
Wei Lin
ELM
376
0
0
11 Apr 2025
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
Ximing Lu
Seungju Han
David Acuna
Hyunwoo Kim
Jaehun Jung
...
Niklas Muennighoff
M. Patwary
Mohammad Shoeybi
Bryan Catanzaro
Yejin Choi
ReLM
LRM
91
6
0
06 Apr 2025
Efficient Evaluation of Large Language Models via Collaborative Filtering
Efficient Evaluation of Large Language Models via Collaborative Filtering
Xu-Xiang Zhong
Chao Yi
Han-Jia Ye
92
0
0
05 Apr 2025
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
Zhijun Wang
Jiahuan Li
Hao Zhou
Rongxiang Weng
Jiadong Wang
Xin Huang
Xue Han
Junlan Feng
Chao Deng
Shujian Huang
LRM
94
3
0
02 Apr 2025
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models
Alexey Karev
Dong Xu
108
0
0
18 Mar 2025
SuperBPE: Space Travel for Language Models
SuperBPE: Space Travel for Language Models
Alisa Liu
J. Hayase
Valentin Hofmann
Sewoong Oh
Noah A. Smith
Yejin Choi
115
7
0
17 Mar 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Yancheng He
Shilong Li
Jing Liu
Weixun Wang
Xingyuan Bu
...
Zhongyuan Peng
Zhenru Zhang
Zhicheng Zheng
Wenbo Su
Bo Zheng
ELM
LRM
105
14
0
26 Feb 2025
Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective
Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective
Chengyin Xu
Kaiyuan Chen
Xiao Li
Ke Shen
Chenggang Li
OffRL
158
0
0
24 Feb 2025
PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
Xinyu Zhang
Yuxuan Dong
Yongpeng Wu
Jiaxing Huang
Chengyou Jia
Basura Fernando
Mike Zheng Shou
Lingling Zhang
Jun Liu
AIMat
ReLM
LRM
83
11
0
17 Feb 2025
Self-Supervised Prompt Optimization
Self-Supervised Prompt Optimization
Jinyu Xiang
Jiayi Zhang
Zhaoyang Yu
Fengwei Teng
Jinhao Tu
Xinbing Liang
Sirui Hong
Chenglin Wu
Yuyu Luo
OffRL
LRM
107
11
0
07 Feb 2025
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Yibo Yan
Shen Wang
Jiahao Huo
Jingheng Ye
Zhendong Chu
Xuming Hu
Philip S. Yu
Carla P. Gomes
B. Selman
Qingsong Wen
LRM
193
17
0
05 Feb 2025
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
Zora Che
Stephen Casper
Robert Kirk
Anirudh Satheesh
Stewart Slocum
...
Zikui Cai
Bilal Chughtai
Y. Gal
Furong Huang
Dylan Hadfield-Menell
MU
AAML
ELM
122
6
0
03 Feb 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
Xin Xu
Qiyun Xu
Tong Xiao
Tianhao Chen
Yuchen Yan
Jiaxin Zhang
Shizhe Diao
Can Yang
Yang Wang
LRM
AI4CE
ELM
179
7
0
01 Feb 2025
A Collection of Question Answering Datasets for Norwegian
A Collection of Question Answering Datasets for Norwegian
Vladislav Mikhailov
Petter Mæhlum
Victoria Ovedie Chruickshank Langø
Erik Velldal
Lilja Øvrelid
RALM
60
4
0
19 Jan 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
168
14
0
03 Jan 2025
UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts
UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts
Bo Yang
Qingping Yang
Runtao Liu
Runtao Liu
LRM
ReLM
ELM
AIMat
126
1
0
11 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Yuqi Luo
Chenyang Song
Xu Han
Yuxiao Chen
Chaojun Xiao
Zhiyuan Liu
Maosong Sun
103
5
0
04 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
120
5
0
24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong
Shivam Agarwal
Yizhe Zhang
Jiacheng Ye
Lin Zheng
...
Peilin Zhao
W. Bi
Jiawei Han
Hao Peng
Dianbo Sui
AI4CE
109
25
0
23 Oct 2024
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
Nan Xu
Xuezhe Ma
LRM
109
5
0
18 Oct 2024
Reverse Modeling in Large Language Models
Reverse Modeling in Large Language Models
S. Yu
Yuanchen Xu
Cunxiao Du
Yanying Zhou
Minghui Qiu
Q. Sun
Hao Zhang
Jiawei Wu
122
2
0
13 Oct 2024
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
Gen Luo
Xue Yang
Wenhan Dou
Zhaokai Wang
Jifeng Dai
Jifeng Dai
Yu Qiao
Xizhou Zhu
VLM
MLLM
119
28
0
10 Oct 2024
Uncovering Latent Chain of Thought Vectors in Language Models
Uncovering Latent Chain of Thought Vectors in Language Models
Jason Zhang
Scott Viteri
LLMSV
LRM
95
3
0
21 Sep 2024
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination
Eva Sánchez Salido
Roser Morante
Julio Gonzalo
Guillermo Marco
Jorge Carrillo-de-Albornoz
...
Enrique Amigó
Andrés Fernández
Alejandro Benito-Santos
Adrián Ghajari Espinosa
Victor Fresno
ELM
78
0
0
19 Sep 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague
Fangcong Yin
Juan Diego Rodriguez
Dongwei Jiang
Manya Wadhwa
Prasann Singhal
Xinyu Zhao
Xi Ye
Kyle Mahowald
Greg Durrett
ReLM
LRM
186
114
0
18 Sep 2024
Can Large Language Models Understand Symbolic Graphics Programs?
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
Weiyang Liu
Haiwen Feng
Zhen Liu
Tim Z. Xiao
Katherine M. Collins
J. Tenenbaum
Adrian Weller
Michael J. Black
Bernhard Schölkopf
110
14
0
15 Aug 2024
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
Leo Micklem
Yan-Bin Shen
Wenjing Luo
Yan Zhang
Hao Liang
...
Weipeng Chen
Bin Cui
Blair Thornton
Wentao Zhang
Guosheng Dong
ELM
110
20
0
02 Aug 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Han Jiang
Xiaoyuan Yi
Zhihua Wei
Ziang Xiao
Shu Wang
Xing Xie
ELM
ALM
132
8
0
20 Jun 2024
Learn Your Reference Model for Real Good Alignment
Learn Your Reference Model for Real Good Alignment
Alexey Gorbatovski
Boris Shaposhnikov
Alexey Malakhov
Nikita Surnachev
Yaroslav Aksenov
Ian Maksimov
Nikita Balagansky
Daniil Gavrilov
OffRL
101
33
0
15 Apr 2024
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Kehua Feng
Keyan Ding
Hongzhi Tan
Kede Ma
Zhihua Wang
...
Yuzhou Cheng
Ge Sun
Guozhou Zheng
Qiang Zhang
H. Chen
71
12
0
10 Apr 2024
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana
Jacob P. Portes
Sasha Doubov
Jonathan Frankle
LRM
299
84
0
31 Dec 2023
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLM
ELM
LRM
101
8
0
13 Oct 2023
Baichuan 2: Open Large-scale Language Models
Baichuan 2: Open Large-scale Language Models
Ai Ming Yang
Bin Xiao
Bingning Wang
Borong Zhang
Ce Bian
...
Youxin Jiang
Yuchen Gao
Yupeng Zhang
Guosheng Dong
Zhiying Wu
ELM
LRM
165
743
0
19 Sep 2023
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
183
3,117
0
20 Oct 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLM
LRM
148
619
0
07 Oct 2022
Solving Quantitative Reasoning Problems with Language Models
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz
Anders Andreassen
David Dohan
Ethan Dyer
Henryk Michalewski
...
Theo Gutman-Solo
Yuhuai Wu
Behnam Neyshabur
Guy Gur-Ari
Vedant Misra
ReLM
ELM
LRM
172
837
0
29 Jun 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and
  Implicit Hate Speech Detection
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Thomas Hartvigsen
Saadia Gabriel
Hamid Palangi
Maarten Sap
Dipankar Ray
Ece Kamar
76
375
0
17 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
814
9,351
0
28 Jan 2022
From LSAT: The Progress and Challenges of Complex Reasoning
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang
Zhongkun Liu
Wanjun Zhong
Ming Zhou
Zhongyu Wei
Zhumin Chen
Nan Duan
ELM
57
45
0
02 Aug 2021
GLM: General Language Model Pretraining with Autoregressive Blank
  Infilling
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du
Yujie Qian
Xiao Liu
Ming Ding
J. Qiu
Zhilin Yang
Jie Tang
BDL
AI4CE
130
1,545
0
18 Mar 2021
JEC-QA: A Legal-Domain Question Answering Dataset
JEC-QA: A Legal-Domain Question Answering Dataset
Haoxiang Zhong
Chaojun Xiao
Cunchao Tu
Tianyang Zhang
Zhiyuan Liu
Maosong Sun
ELM
AILaw
63
156
0
27 Nov 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
217
1,517
0
24 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
256
2,312
0
02 May 2019
The Natural Language Decathlon: Multitask Learning as Question Answering
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
AIMat
MLLM
BDL
142
645
0
20 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,154
0
20 Apr 2018
12
Next