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LogiQA: A Challenge Dataset for Machine Reading Comprehension with
  Logical Reasoning

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

16 July 2020
Jian Liu
Leyang Cui
Hanmeng Liu
Dandan Huang
Yile Wang
Yue Zhang
    RALM
ArXivPDFHTML

Papers citing "LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning"

50 / 76 papers shown
Title
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
Anjiang Wei
Yuheng Wu
Yingjia Wan
Tarun Suresh
Huanmi Tan
Zhanke Zhou
Sanmi Koyejo
Ke Wang
Alex Aiken
ReLM
LRM
7
0
0
20 May 2025
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
Yixin Yang
Qingxiu Dong
Linli Yao
Fangwei Zhu
Zhifang Sui
48
0
0
08 May 2025
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation
Mengze Hong
Wailing Ng
Di Jiang
Chen Zhang
ELM
55
0
0
08 May 2025
Computational Reasoning of Large Language Models
Computational Reasoning of Large Language Models
Haitao Wu
Zongbo Han
Joey Tianyi Zhou
Huaxi Huang
Changqing Zhang
ELM
LRM
62
0
0
29 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Yixin Cao
Shibo Hong
Xuzhao Li
Jiahao Ying
Yubo Ma
...
Juanzi Li
Aixin Sun
Xuanjing Huang
Tat-Seng Chua
Tianwei Zhang
ALM
ELM
96
2
0
26 Apr 2025
LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation
LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation
Jiahao Yuan
Xingzhe Sun
Xing Yu
Jingwen Wang
Dehui Du
Zhiqing Cui
Zixiang Di
LRM
38
0
0
23 Apr 2025
DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
DONOD: Robust and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
Jucheng Hu
Steve Yang
Dongzhan Zhou
Lijun Wu
34
0
0
21 Apr 2025
Generative Evaluation of Complex Reasoning in Large Language Models
Generative Evaluation of Complex Reasoning in Large Language Models
Haowei Lin
Xinbing Wang
Ruilin Yan
Baizhou Huang
Haotian Ye
Jianhua Zhu
Zihao Wang
James Zou
Jianzhu Ma
Yitao Liang
ReLM
ELM
LRM
216
0
0
03 Apr 2025
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Mohan Zhang
Pingzhi Li
Jie Peng
Mufan Qiu
Tianlong Chen
MoE
50
0
0
02 Apr 2025
MastermindEval: A Simple But Scalable Reasoning Benchmark
Jonas Golde
Patrick Haller
Fabio Barth
Alan Akbik
LRM
ReLM
ELM
58
2
0
07 Mar 2025
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Kashun Shum
Yuanmin Huang
Hongjian Zou
Qi Ding
Yixuan Liao
Xiao Chen
Qian Liu
Junxian He
67
2
0
02 Mar 2025
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
Gyeongje Cho
Yeonkyoung So
Jaejin Lee
ELM
62
0
0
26 Feb 2025
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions
Yizhe Zhang
Richard He Bai
Zijin Gu
Ruixiang Zhang
Jiatao Gu
Emmanuel Abbe
Samy Bengio
Navdeep Jaitly
LRM
BDL
70
1
0
25 Feb 2025
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Thanh Le-Cong
Bach Le
Toby Murray
LRM
55
1
0
22 Feb 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Fan Zhou
Zengzhi Wang
Qian Liu
Junlong Li
Pengfei Liu
ALM
106
15
0
17 Feb 2025
Logical forms complement probability in understanding language model (and human) performance
Logical forms complement probability in understanding language model (and human) performance
Yixuan Wang
Freda Shi
ReLM
LRM
79
2
0
13 Feb 2025
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
Da Xiao
Qingye Meng
Shengping Li
Xingyuan Yuan
MoE
AI4CE
66
1
0
13 Feb 2025
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Maohao Shen
Guangtao Zeng
Zhenting Qi
Zhang-Wei Hong
Zhenfang Chen
Wei Lu
G. Wornell
Subhro Das
David D. Cox
Chuang Gan
LLMAG
LRM
216
7
0
04 Feb 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
Ran Xu
Hui Liu
Sreyashi Nag
Zhenwei Dai
Yaochen Xie
...
Chen Luo
Yang Li
Joyce C. Ho
Carl Yang
Qi He
RALM
78
8
0
28 Jan 2025
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
Youpeng Zhao
Ming Lin
Huadong Tang
Qiang Wu
Jun Wang
83
0
0
28 Jan 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Yanfang Zhang
Yiliu Sun
Yibing Zhan
Dapeng Tao
Dacheng Tao
Chen Gong
LRM
AI4CE
LLMAG
102
2
0
28 Jan 2025
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Qiming Bao
Gaël Gendron
A. Peng
Wanjun Zhong
N. Tan
Yang Chen
Michael Witbrock
Qingbin Liu
LRM
ELM
73
2
0
20 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
70
40
0
31 Dec 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
34
13
0
15 Oct 2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language
  Models via Recounted Narratives
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
Xinliang Frederick Zhang
Nick Beauchamp
Lu Wang
LRM
AI4CE
32
3
0
07 Oct 2024
TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
Danqing Wang
Jianxin Ma
Fei Fang
Lei Li
LLMAG
LRM
208
0
0
02 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
87
1
0
02 Oct 2024
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu
Wenjiang Xu
Weizhe Huang
Yuting Zeng
Jiaxing Wang
Hailong Yang
Hailong Yang
Jing Li
LRM
ReLM
52
6
0
26 Sep 2024
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang
Ping Jian
Zhen Yang
LRM
27
0
0
22 Sep 2024
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
Zikai Xie
HILM
LRM
61
5
0
09 Aug 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Zhenhua Liu
Tong Zhu
Chuanyuan Tan
Wenliang Chen
PILM
MU
56
8
0
14 Jul 2024
Retrieved In-Context Principles from Previous Mistakes
Retrieved In-Context Principles from Previous Mistakes
Hao Sun
Yong-jia Jiang
Bo Wang
Yingyan Hou
Yan Zhang
Pengjun Xie
Fei Huang
63
1
0
08 Jul 2024
RegMix: Data Mixture as Regression for Language Model Pre-training
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu
Xiaosen Zheng
Niklas Muennighoff
Guangtao Zeng
Longxu Dou
Tianyu Pang
Jing Jiang
Min Lin
MoE
74
41
1
01 Jul 2024
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language
  Models
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models
Sree Harsha Tanneru
Dan Ley
Chirag Agarwal
Himabindu Lakkaraju
LRM
31
4
0
15 Jun 2024
The CLRS-Text Algorithmic Reasoning Language Benchmark
The CLRS-Text Algorithmic Reasoning Language Benchmark
Larisa Markeeva
Sean McLeish
Borja Ibarz
Wilfried Bounsi
Olga Kozlova
Alex Vitvitskyi
Charles Blundell
Tom Goldstein
Avi Schwarzschild
Petar Veličković
LRM
38
12
0
06 Jun 2024
Break the Chain: Large Language Models Can be Shortcut Reasoners
Break the Chain: Large Language Models Can be Shortcut Reasoners
Mengru Ding
Hanmeng Liu
Zhizhang Fu
Jian Song
Wenbo Xie
Yue Zhang
KELM
LRM
36
7
0
04 Jun 2024
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small
  Reference Models
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Zachary Ankner
Cody Blakeney
Kartik K. Sreenivasan
Max Marion
Matthew L. Leavitt
Mansheej Paul
43
24
0
30 May 2024
DGRC: An Effective Fine-tuning Framework for Distractor Generation in
  Chinese Multi-choice Reading Comprehension
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
Runfeng Lin
Dacheng Xu
Huijiang Wang
Zebiao Chen
Yating Wang
Shouqiang Liu
44
0
0
29 May 2024
Quantifying In-Context Reasoning Effects and Memorization Effects in
  LLMs
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
Siyu Lou
Yuntian Chen
Xiaodan Liang
Liang Lin
Quanshi Zhang
42
2
0
20 May 2024
HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
Milan Gritta
Gerasimos Lampouras
Ignacio Iacobacci
ALM
32
1
0
15 May 2024
Optimizing Language Model's Reasoning Abilities with Weak Supervision
Optimizing Language Model's Reasoning Abilities with Weak Supervision
Yongqi Tong
Sizhe Wang
Dawei Li
Yifan Wang
Simeng Han
Zi Lin
Chengsong Huang
Jiaxin Huang
Jingbo Shang
LRM
ReLM
42
8
0
07 May 2024
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Matthew Renze
Erhan Guven
LRM
LLMAG
44
39
0
05 May 2024
PECC: Problem Extraction and Coding Challenges
PECC: Problem Extraction and Coding Challenges
Patrick Haller
Jonas Golde
Alan Akbik
ReLM
40
5
0
29 Apr 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRM
ReLM
ELM
38
24
0
23 Apr 2024
Self-playing Adversarial Language Game Enhances LLM Reasoning
Self-playing Adversarial Language Game Enhances LLM Reasoning
Pengyu Cheng
Tianhao Hu
Han Xu
Zhisong Zhang
Yong Dai
Lei Han
Nan Du
Nan Du
Xiaolong Li
SyDa
LRM
ReLM
98
29
0
16 Apr 2024
DiJiang: Efficient Large Language Models through Compact Kernelization
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen
Zhicheng Liu
Xutao Wang
Yuchuan Tian
Yunhe Wang
VLM
31
5
0
29 Mar 2024
The Effect of Sampling Temperature on Problem Solving in Large Language
  Models
The Effect of Sampling Temperature on Problem Solving in Large Language Models
Matthew Renze
Erhan Guven
58
74
0
07 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CE
LRM
75
27
0
25 Jan 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
29
4
0
11 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
70
8
0
13 Oct 2023
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