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MathQA: Towards Interpretable Math Word Problem Solving with
  Operation-Based Formalisms

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

30 May 2019
Aida Amini
Saadia Gabriel
Shanchuan Lin
Rik Koncel-Kedziorski
Yejin Choi
Hannaneh Hajishirzi
    AIMat
    ReLM
    AI4CE
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Papers citing "MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms"

50 / 135 papers shown
Title
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation
Madhav Kotecha
Vijendra Kumar Vaishya
Smita Gautam
Suraj Racha
37
0
0
02 May 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
Xing Hu
Zhixuan Chen
Dawei Yang
Zukang Xu
Chen Xu
Zhihang Yuan
Sifan Zhou
Jiangyong Yu
MoE
MQ
44
0
0
02 May 2025
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
D. Jiang
Ziyu Guo
Renrui Zhang
Zhuofan Zong
Hao Li
Le Zhuo
Shilin Yan
Pheng-Ann Heng
Yiming Li
LRM
72
2
0
01 May 2025
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
Jingyang Yi
Jiazheng Wang
Sida Li
ReLM
OODD
LRM
180
2
0
30 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
91
2
0
26 Apr 2025
Saliency-driven Dynamic Token Pruning for Large Language Models
Saliency-driven Dynamic Token Pruning for Large Language Models
Yao Tao
Yehui Tang
Yun Wang
Mingjian Zhu
Hailin Hu
Yunhe Wang
36
0
0
06 Apr 2025
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
Hamed Mahdavi
Alireza Hashemi
Majid Daliri
Pegah Mohammadipour
Alireza Farhadi
Samira Malek
Yekta Yazdanifard
Amir Khasahmadi
V. Honavar
ELM
LRM
66
1
0
01 Apr 2025
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization
Iñigo Pikabea
Iñaki Lacunza
Oriol Pareras
Carlos Escolano
Aitor Gonzalez-Agirre
Javier Hernando
Marta Villegas
VLM
56
0
0
28 Mar 2025
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts
P. Wang
Zhongzhi Li
Fei Yin
Dekang Ran
Chenglin Liu
Cheng-Lin Liu
LRM
50
3
0
28 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
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Yiwen Ding
Zhiheng Xi
Wei He
Zhuoyuan Li
Yitao Zhai
Xiaowei Shi
Xunliang Cai
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
77
3
0
24 Feb 2025
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
Weilan Wang
Yu Mao
Dongdong Tang
Hongchao Du
Nan Guan
Chun Jason Xue
MQ
67
1
0
24 Feb 2025
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
Ting-Ruen Wei
Haowei Liu
Xuyang Wu
Yi Fang
LRM
AI4CE
ReLM
KELM
220
1
0
21 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
Chao Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
76
2
0
18 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
104
15
0
17 Feb 2025
Towards Reasoning Ability of Small Language Models
Towards Reasoning Ability of Small Language Models
Gaurav Srivastava
Shuxiang Cao
Xuan Wang
ReLM
LRM
60
4
0
17 Feb 2025
Understanding Silent Data Corruption in LLM Training
Understanding Silent Data Corruption in LLM Training
Jeffrey Ma
Hengzhi Pei
Leonard Lausen
George Karypis
42
0
0
17 Feb 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
Haoyang Li
Xuejia Chen
Zhanchao Xu
Darian Li
Nicole Hu
...
Heng Chang
Luyu Qiu
C. Zhang
Qing Li
Lei Chen
LRM
ELM
45
1
0
16 Feb 2025
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?
Xiang Liu
Zhenheng Tang
Hong Chen
Peijie Dong
Zeyu Li
Xiuze Zhou
Bo Li
Xuming Hu
Xiaowen Chu
215
3
0
04 Feb 2025
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
Yuxuan Wu
Hideki Nakayama
NAI
58
0
0
02 Feb 2025
The Karp Dataset
The Karp Dataset
Mason DiCicco
Eamon Worden
Conner Olsen
Nikhil Gangaram
Daniel Reichman
Neil T. Heffernan
ReLM
LRM
60
0
0
24 Jan 2025
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li
Mutlu Cukurova
Sahan Bulathwela
36
3
0
10 Jan 2025
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
Hyunwoo Ko
Guijin Son
Dasol Choi
RALM
LRM
80
7
0
05 Jan 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wei Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
79
12
0
03 Jan 2025
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
Joonwon Jang
Jaehee Kim
Wonbin Kweon
Hwanjo Yu
LRM
47
1
0
03 Jan 2025
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
Chenxin Tao
Shiqian Su
X. Zhu
Chenyu Zhang
Zhe Chen
...
Wenhai Wang
Lewei Lu
Gao Huang
Yu Qiao
Jifeng Dai
MLLM
VLM
108
2
0
20 Dec 2024
Chimera: Improving Generalist Model with Domain-Specific Experts
Chimera: Improving Generalist Model with Domain-Specific Experts
Tianshuo Peng
Mingxing Li
Hongbin Zhou
Renqiu Xia
Renrui Zhang
...
Aojun Zhou
Botian Shi
Tao Chen
Bo Zhang
Xiangyu Yue
90
4
0
08 Dec 2024
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
Runming Yang
Taiqiang Wu
Jiahao Wang
Pengfei Hu
Ngai Wong
Yujiu Yang
Yujiu Yang
178
1
0
11 Nov 2024
Number Cookbook: Number Understanding of Language Models and How to Improve It
Number Cookbook: Number Understanding of Language Models and How to Improve It
Haotong Yang
Yi Hu
Shijia Kang
Zhouchen Lin
Muhan Zhang
LRM
46
2
0
06 Nov 2024
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Y. Qi
Hao Peng
Xinyu Wang
Bin Xu
Lei Hou
Juanzi Li
64
1
0
31 Oct 2024
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
Huzaifa Pardawala
Siddhant Sukhani
Agam Shah
Veer Kejriwal
Abhishek Pillai
Rohan Bhasin
Andrew DiBiasio
Tarun Mandapati
Dhruv Adha
S. Chava
125
1
0
28 Oct 2024
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
Shih-yang Liu
Huck Yang
Nai Chit Fung
Nai Chit Fung
Hongxu Yin
...
Jan Kautz
Yu-Chun Wang
Pavlo Molchanov
Min-Hung Chen
Min-Hung Chen
MQ
36
0
0
28 Oct 2024
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
Wenkai Li
Jiarui Liu
Andy Liu
Xuhui Zhou
Mona Diab
Maarten Sap
59
6
0
21 Oct 2024
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li
Sen Mei
Zhenghao Liu
Yukun Yan
Shuo Wang
...
Huimin Chen
Ge Yu
Zhiyuan Liu
Maosong Sun
Chenyan Xiong
50
7
0
17 Oct 2024
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks
Rudra Murthy
Prince Kumar
Praveen Venkateswaran
Danish Contractor
KELM
ALM
ELM
47
1
0
16 Oct 2024
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
Wenyuan Xu
Rujun Han
Zhenting Wang
L. Le
Dhruv Madeka
Lei Li
Luu Anh Tuan
Rishabh Agarwal
Chen-Yu Lee
Tomas Pfister
80
8
0
15 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
44
0
0
12 Oct 2024
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+
  Interaction Trajectories
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
Yifan Song
Weimin Xiong
Xiutian Zhao
Dawei Zhu
Wenhao Wu
Ke Wang
Cheng Li
Wei Peng
Sujian Li
LLMAG
31
10
0
10 Oct 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Guanchu Wang
Yu-Neng Chuang
Ruixiang Tang
Shaochen Zhong
Jiayi Yuan
...
Zirui Liu
V. Chaudhary
Shuai Xu
James Caverlee
Xia Hu
PILM
81
1
0
06 Oct 2024
LLMs in Education: Novel Perspectives, Challenges, and Opportunities
LLMs in Education: Novel Perspectives, Challenges, and Opportunities
Bashar Alhafni
Sowmya Vajjala
Stefano Banno
Kaushal Kumar Maurya
Ekaterina Kochmar
AI4Ed
43
1
0
18 Sep 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin
Shangqian Gao
James Seale Smith
Abhishek Patel
Shikhar Tuli
Yilin Shen
Hongxia Jin
Yen-Chang Hsu
71
7
0
19 Aug 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Haoyu Tang
Ye Liu
Xukai Liu
Xukai Liu
Yanghai Zhang
Kai Zhang
Xiaofang Zhou
Enhong Chen
MU
75
3
0
25 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
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large
  Language Models
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models
Kangyun Ning
Yisong Su
Xueqiang Lv
Yuanzhe Zhang
Jian Liu
Kang Liu
Jinan Xu
ELM
LLMAG
48
2
0
02 Jul 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large
  Language Models
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models
Yiyuan Li
Shichao Sun
Pengfei Liu
LRM
62
0
0
01 Jul 2024
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large
  Language Models
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
Jiabao Pan
Yan Zhang
Chen Zhang
Zuozhu Liu
Hongwei Wang
Haizhou Li
LRM
37
3
0
01 Jul 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective
  Unlearning in LLMs
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
S. Kadhe
Farhan Ahmed
Dennis Wei
Nathalie Baracaldo
Inkit Padhi
MoMe
MU
28
7
0
17 Jun 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal
  Large Language Models
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Tianle Gu
Zeyang Zhou
Kexin Huang
Dandan Liang
Yixu Wang
...
Keqing Wang
Yujiu Yang
Yan Teng
Yu Qiao
Yingchun Wang
ELM
50
13
0
11 Jun 2024
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Joongwon Kim
Bhargavi Paranjape
Tushar Khot
Hannaneh Hajishirzi
LM&Ro
ELM
LLMAG
LRM
46
9
0
10 Jun 2024
Are We Done with MMLU?
Are We Done with MMLU?
Aryo Pradipta Gema
Joshua Ong Jun Leang
Giwon Hong
Alessio Devoto
Alberto Carlo Maria Mancino
...
R. McHardy
Joshua Harris
Jean Kaddour
Emile van Krieken
Pasquale Minervini
ELM
60
30
0
06 Jun 2024
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