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researcher

Guanghan Ning

6 papers hereh-index 5256 citations6 works total

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

author position
  • middle author3

Across the 3 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL2
  • cs.CV1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedFullStack Bench: Evaluating LLMs as Full Stack Coders

2 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.AI2024★ 2 cited

FullStack Bench: Evaluating LLMs as Full Stack Coders

Bytedance-Seed-Foundation-Code-Team, :, Yao Cheng +53

As the capabilities of code large language models (LLMs) continue to expand, their applications across diverse code intelligence domains are rapidly increasing. However, most exist…

cs.SE2024

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

Linyi Li, Shijie Geng, Zhenwen Li +7

Large Language Models for code (code LLMs) have witnessed tremendous progress in recent years. With the rapid development of code LLMs, many popular evaluation benchmarks, such as…

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