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OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

15 February 2024
Shubham Toshniwal
Ivan Moshkov
Sean Narenthiran
Daria Gitman
Fei Jia
Igor Gitman
ArXivPDFHTML

Papers citing "OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset"

15 / 15 papers shown
Title
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
Daria Gitman
Igor Gitman
Evelina Bakhturina
SyDa
39
0
0
01 May 2025
Aligning Multimodal LLM with Human Preference: A Survey
Aligning Multimodal LLM with Human Preference: A Survey
Tao Yu
Y. Zhang
Chaoyou Fu
Junkang Wu
Jinda Lu
...
Qingsong Wen
Z. Zhang
Yan Huang
Liang Wang
T. Tan
64
2
0
18 Mar 2025
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
Xinxin You
Xien Liu
Qixin Sun
Huan Zhang
Kaiyin Zhou
Shaohui Liu
Guoping Hu
Shijin Wang
Si Liu
Ji Wu
77
0
0
13 Feb 2025
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
Junyu Chen
Han Cai
Junsong Chen
E. Xie
Shang Yang
Haotian Tang
Muyang Li
Y. Lu
Song Han
DiffM
54
35
0
20 Jan 2025
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
28
0
0
13 Oct 2024
Improving LLM Reasoning through Scaling Inference Computation with
  Collaborative Verification
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
Zhenwen Liang
Ye Liu
Tong Niu
Xiangliang Zhang
Yingbo Zhou
Semih Yavuz
LRM
19
17
0
05 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
45
0
0
02 Oct 2024
Reasoning Elicitation in Language Models via Counterfactual Feedback
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük
Xinnuo Xu
Jacqueline Maasch
Aditya V. Nori
Javier González
ReLM
LRM
39
1
0
02 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Zezhou Wang
Yaxin Du
Zhuzhong Qian
Yugang Jiang
Zhuzhong Qian
Siheng Chen
FedML
30
0
0
30 Sep 2024
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
Arash Gholami Davoodi
Seyed Pouyan Mousavi Davoudi
Pouya Pezeshkpour
ELM
LRM
26
3
0
07 Jun 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via
  Premise Removal Interventions
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
Jordan Meadows
Tamsin James
André Freitas
ReLM
LRM
AI4CE
14
1
0
29 Apr 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 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
315
8,261
0
28 Jan 2022
NeMo: a toolkit for building AI applications using Neural Modules
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev
Jason Chun Lok Li
Huyen Nguyen
Oleksii Hrinchuk
Ryan Leary
...
Jack Cook
P. Castonguay
Mariya Popova
Jocelyn Huang
Jonathan M. Cohen
169
287
0
14 Sep 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
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