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20202023
most citedSolving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification

18 citations · 31 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 4 cited

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Ke Wang, Houxing Ren, Aojun Zhou +7

The recently released GPT-4 Code Interpreter has demonstrated remarkable proficiency in solving challenging math problems, primarily attributed to its ability to seamlessly reason…

cs.CL2023

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Nan He, Hanyu Lai, Chenyang Zhao +12

Large Language Models (LLMs) exhibit impressive reasoning and data augmentation capabilities in various NLP tasks. However, what about small models? In this work, we propose Teache…

cs.CL2023★ 18 cited

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification

Aojun Zhou, Ke Wang, Zimu Lu +8

Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 has brought significant advancements in addressing math reasoning problems. In particular, OpenAI's latest ver…

cs.CL2023★ 4 cited

VCSUM: A Versatile Chinese Meeting Summarization Dataset

Han Wu, Mingjie Zhan, Haochen Tan +3

Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data. To this end, we introduce a versatile Chinese meeting s…

cs.CL2023

Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts

Haochen Tan, Han Wu, Wei Shao +5

Meetings typically involve multiple participants and lengthy conversations, resulting in redundant and trivial content. To overcome these challenges, we propose a two-step framewor…

cs.CL2022★ 1 cited

Learning Locality and Isotropy in Dialogue Modeling

Han Wu, Haochen Tan, Mingjie Zhan +4

Existing dialogue modeling methods have achieved promising performance on various dialogue tasks with the aid of Transformer and the large-scale pre-trained language models. Howeve…

cs.CL2021★ 1 cited

GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding

Zilong Wang, Mingjie Zhan, Houxing Ren +4

Forms are a common type of document in real life and carry rich information through textual contents and the organizational structure. To realize automatic processing of forms, wor…