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B. Chen

22 papers hereh-index 192.5k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author18

Across the 20 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.LG4
  • cs.SE4
  • cs.AI1
  • cs.HC1
same name
  • B. Chen — 289 papers, h 21
  • B. Chen — 129 papers
  • B. Chen — 127 papers
  • B. Chen — 25 papers, h 18
  • B. Chen — 21 papers, h 33
  • B. Chen — 11 papers, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedMaking Large Language Models Better Reasoners with Step-Aware Verifier

39 citations · 188 across the 22 of their papers we have counts for

collaborators
Showing cs.SEShow all

4 papers · 1 filter

cs.SE2023

SoTaNa: The Open-Source Software Development Assistant

Ensheng Shi, Fengji Zhang, Yanlin Wang +6

Software development plays a crucial role in driving innovation and efficiency across modern societies. To meet the demands of this dynamic field, there is a growing need for an ef…

cs.SE2023★ 2 cited

Private-Library-Oriented Code Generation with Large Language Models

Daoguang Zan, Bei Chen, Yongshun Gong +6

Large language models (LLMs), such as Codex and GPT-4, have recently showcased their remarkable code generation abilities, facilitating a significant boost in coding efficiency. Th…

cs.SE2023★ 14 cited

Explainable Automated Debugging via Large Language Model-driven Scientific Debugging

Sungmin Kang, Bei Chen, Shin Yoo +1

Automated debugging techniques have the potential to reduce developer effort in debugging, and have matured enough to be adopted by industry. However, one critical issue with exist…

cs.SE2022★ 4 cited

Large Language Models Meet NL2Code: A Survey

Daoguang Zan, Bei Chen, Fengji Zhang +5

The task of generating code from a natural language description, or NL2Code, is considered a pressing and significant challenge in code intelligence. Thanks to the rapid developmen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.