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Training Verifiers to Solve Math Word Problems

Training Verifiers to Solve Math Word Problems

27 October 2021
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
Lukasz Kaiser
Matthias Plappert
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
    ReLM
    OffRL
    LRM
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Papers citing "Training Verifiers to Solve Math Word Problems"

50 / 2,994 papers shown
Title
Process Reward Models That Think
Process Reward Models That Think
Muhammad Khalifa
Rishabh Agarwal
Lajanugen Logeswaran
Jaekyeom Kim
Hao Peng
Moontae Lee
Honglak Lee
Lu Wang
OffRL
ALM
LRM
44
1
0
23 Apr 2025
Lightweight Latent Verifiers for Efficient Meta-Generation Strategies
Lightweight Latent Verifiers for Efficient Meta-Generation Strategies
Bartosz Piotrowski
Witold Drzewakowski
Konrad Staniszewski
Piotr Miłoś
LRM
36
0
0
23 Apr 2025
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
Ivan Moshkov
Darragh Hanley
Ivan Sorokin
Shubham Toshniwal
Christof Henkel
Benedikt D. Schifferer
Wei Du
Igor Gitman
ReLM
LRM
45
2
0
23 Apr 2025
Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study
Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study
Mohammad Khodadad
Ali Shiraee Kasmaee
Mahdi Astaraki
Nicholas Sherck
H. Mahyar
Soheila Samiee
LRM
139
0
0
23 Apr 2025
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
ParamΔΔΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Sheng Cao
Mingrui Wu
Karthik Prasad
Yuandong Tian
Zechun Liu
MoMe
80
0
0
23 Apr 2025
Safety Pretraining: Toward the Next Generation of Safe AI
Safety Pretraining: Toward the Next Generation of Safe AI
Pratyush Maini
Sachin Goyal
Dylan Sam
Alex Robey
Yash Savani
Yiding Jiang
Andy Zou
Zacharcy C. Lipton
J. Zico Kolter
63
0
0
23 Apr 2025
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
Mirian Hipolito Garcia
Camille Couturier
Daniel Madrigal Diaz
Ankur Mallick
Anastasios Kyrillidis
Robert Sim
Victor Rühle
Saravan Rajmohan
30
0
0
23 Apr 2025
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
Zihao An
Huajun Bai
Ziqiang Liu
Dong Li
E. Barsoum
61
0
0
23 Apr 2025
MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
Fengwei Zhou
Jiafei Song
Wenjin Jason Li
Gengjian Xue
Zhikang Zhao
Yichao Lu
Bailin Na
22
1
0
23 Apr 2025
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Shi Qiu
Shaoyang Guo
Zhuo-Yang Song
Yizhou Sun
Zeyu Cai
...
Ming-xing Luo
Muhan Zhang
Yaodong Yang
Muhan Zhang
Hua Xing Zhu
AIMat
LRM
29
0
0
22 Apr 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
Yuxin Jiang
Y. Wang
Chuhan Wu
Xinyi Dai
Yan Xu
...
Y. Wang
Xin Jiang
Lifeng Shang
R. Tang
Luu Anh Tuan
36
0
0
22 Apr 2025
Compass-V2 Technical Report
Compass-V2 Technical Report
Sophia Maria
MoE
LRM
38
0
0
22 Apr 2025
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
Luwei Xiao
Rui Mao
Shuai Zhao
Qika Lin
Yanhao Jia
Liang He
Erik Cambria
26
0
0
22 Apr 2025
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
Michael A. Hedderich
Anyi Wang
Raoyuan Zhao
Florian Eichin
Barbara Plank
35
0
0
22 Apr 2025
CAPO: Cost-Aware Prompt Optimization
CAPO: Cost-Aware Prompt Optimization
Tom Zehle
Moritz Schlager
Timo Heiß
Matthias Feurer
VLM
59
0
0
22 Apr 2025
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Aviv Bick
Eric P. Xing
Albert Gu
RALM
91
0
0
22 Apr 2025
Trillion 7B Technical Report
Trillion 7B Technical Report
Sungjun Han
Juyoung Suk
Suyeong An
Hyungguk Kim
Kyuseok Kim
Wonsuk Yang
Seungtaek Choi
Jamin Shin
116
1
0
21 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
55
2
0
21 Apr 2025
MARFT: Multi-Agent Reinforcement Fine-Tuning
MARFT: Multi-Agent Reinforcement Fine-Tuning
Junwei Liao
Muning Wen
Jun Wang
Wenbo Zhang
OffRL
31
0
0
21 Apr 2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Yilun Zhou
Austin Xu
Peifeng Wang
Caiming Xiong
Shafiq R. Joty
ELM
ALM
LRM
53
2
0
21 Apr 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan
Chen Henry Wu
Charles Ding
Aditi Raghunathan
36
0
0
21 Apr 2025
Efficient Pretraining Length Scaling
Efficient Pretraining Length Scaling
Bohong Wu
Shen Yan
Sijun Zhang
Jianqiao Lu
Yutao Zeng
Ya Wang
Xun Zhou
135
0
0
21 Apr 2025
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
Jie Cheng
Ruixi Qiao
Lijun Li
Chao Guo
J. Z. Wang
Gang Xiong
Yisheng Lv
Fei-Yue Wang
LRM
154
3
0
21 Apr 2025
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Ahsan Bilal
Muhammad Ahmed Mohsin
Muhammad Umer
Muhammad Awais Khan Bangash
Muhammad Ali Jamshed
LLMAG
LRM
AI4CE
56
0
0
20 Apr 2025
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines
Reya Vir
Shreya Shankar
Harrison Chase
Will Fu-Hinthorn
Aditya G. Parameswaran
AI4TS
32
0
0
20 Apr 2025
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
Tong Chen
Faeze Brahman
Jiacheng Liu
Niloofar Mireshghallah
Weijia Shi
Pang Wei Koh
Luke Zettlemoyer
Hannaneh Hajishirzi
40
0
0
20 Apr 2025
Improving RL Exploration for LLM Reasoning through Retrospective Replay
Improving RL Exploration for LLM Reasoning through Retrospective Replay
Shihan Dou
Muling Wu
Jingwen Xu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
OffRL
LRM
32
0
0
19 Apr 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue
Zhiqi Chen
Rui Lu
Andrew Zhao
Zhaokai Wang
Yang Yue
Shiji Song
Gao Huang
ReLM
LRM
58
13
0
18 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
45
1
0
18 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
Jiliang Ni
Jiachen Pu
Zhongyi Yang
Kun Zhou
Hui Wang
Xiaoliang Xiao
Dakui Wang
Xin Li
Jingfeng Luo
Conggang Hu
37
0
0
18 Apr 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
Yicheng Chen
Yining Li
Kai Hu
Zerun Ma
Haochen Ye
Kai Chen
34
0
0
18 Apr 2025
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Yule Liu
Jingyi Zheng
Zhen Sun
Zifan Peng
Wenhan Dong
Zeyang Sha
Shiwen Cui
Weiqiang Wang
Xinlei He
OffRL
LRM
44
4
0
18 Apr 2025
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu
Yash Savani
Fei Fang
Zico Kolter
OffRL
42
2
0
18 Apr 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
J. T. Wang
Jin Jiang
Yang Liu
M. Zhang
Xunliang Cai
LRM
37
0
0
18 Apr 2025
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
Grace Byun
Jinho D. Choi
EGVM
46
0
0
18 Apr 2025
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
Saksham Rastogi
Pratyush Maini
Danish Pruthi
42
0
0
18 Apr 2025
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
Xiao Pu
Michael Stephen Saxon
Wenyue Hua
William Yang Wang
LRM
30
0
0
17 Apr 2025
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
Haidar Khan
H. A. Alyahya
Yazeed Alnumay
M Saiful Bari
B. Yener
ELM
LRM
57
0
0
17 Apr 2025
Antidistillation Sampling
Antidistillation Sampling
Yash Savani
Asher Trockman
Zhili Feng
Avi Schwarzschild
Alexander Robey
Marc Finzi
J. Zico Kolter
46
0
0
17 Apr 2025
Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
Nearchos Potamitis
Akhil Arora
LRM
46
0
0
17 Apr 2025
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Shizhe Diao
Yu Yang
Y. Fu
Xin Dong
Dan Su
...
Hongxu Yin
M. Patwary
Yingyan
Jan Kautz
Pavlo Molchanov
38
0
0
17 Apr 2025
Sleep-time Compute: Beyond Inference Scaling at Test-time
Sleep-time Compute: Beyond Inference Scaling at Test-time
Kevin Lin
Charlie Snell
Yibo Wang
Charles Packer
Sarah Wooders
Ion Stoica
Joseph E. Gonzalez
44
2
0
17 Apr 2025
GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning
GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning
Liangyu Xu
Yingxiu Zhao
Jiadong Wang
Yingyao Wang
Bu Pi
...
Jihao Gu
X. Li
Xiaoyong Zhu
Jun Song
Jian Xu
LRM
165
1
0
17 Apr 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
Yan Yang
Yixia Li
Hongru Wang
Xuetao Wei
Jianqiao Yu
Yun-Nung Chen
Guanhua Chen
MoMe
28
0
0
17 Apr 2025
Cost-of-Pass: An Economic Framework for Evaluating Language Models
Cost-of-Pass: An Economic Framework for Evaluating Language Models
Mehmet Hamza Erol
Batu El
Mirac Suzgun
Mert Yuksekgonul
J. Zou
ELM
40
0
0
17 Apr 2025
FLIP Reasoning Challenge
FLIP Reasoning Challenge
Andreas Plesner
Turlan Kuzhagaliyev
Roger Wattenhofer
AAML
VLM
LRM
80
0
0
16 Apr 2025
Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
Shizhan Cai
Liang Ding
Dacheng Tao
WaLM
57
0
0
16 Apr 2025
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao
Devaansh Gupta
Qinqing Zheng
Aditya Grover
DiffM
LRM
AI4CE
42
2
0
16 Apr 2025
Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
Zhongxi Qiu
Zhang Zhang
Yan Hu
Heng Li
Jiang-Dong Liu
OffRL
149
0
0
16 Apr 2025
DataDecide: How to Predict Best Pretraining Data with Small Experiments
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian H. Magnusson
Nguyen Tai
Ben Bogin
David Heineman
Jena D. Hwang
...
Dirk Groeneveld
Oyvind Tafjord
Noah A. Smith
Pang Wei Koh
Jesse Dodge
ALM
37
0
0
15 Apr 2025
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