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researcher

Yifan Yao

17 papers hereh-index 51.5k citations18 works total

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

author position
  • first author1
  • middle author14

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.AI4
  • cs.SE4
  • cs.CV2
  • cs.CR1
same name
  • Yifan Yao — 3 papers, h 6
  • Yifan Yao — 3 papers, h 2
  • Yifan Yao — 2 papers, h 3
  • Yifan Yao — 1 paper, h 1
  • Yifan Yao — 1 paper, h 1
  • Yifan Yao — 1 paper, h 0

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
20232026
most citedA Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

1k citations · 1k across the 14 of their papers we have counts for

collaborators
Showing cs.SEShow all

4 papers · 1 filter

cs.SE2026

GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions

Xinyu Che, Yunfei Ge, Shihao Li +9

Coding agents can modify and test code across large software projects. Game development is a domain where agents must implement gameplay rules. A game can end in a valid state even…

cs.SE2026

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models

Xinping Lei, Xinyu Che, Junqi Xiong +16

Large language models are rapidly evolving into interactive coding agents capable of end-to-end web coding, yet existing benchmarks evaluate only narrow slices of this capability,…

cs.SE2026

CodeTracer: Towards Traceable Agent States

Han Li, Yifan Yao, Letian Zhu +13

Code agents are advancing rapidly, but debugging them is becoming increasingly difficult. As frameworks orchestrate parallel tool calls and multi-stage workflows over complex tasks…

cs.SE2025

SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models

Jingxuan Xu, Ken Deng, Weihao Li +36

Evaluating large language models (LLMs) for software engineering has been limited by narrow task coverage, language bias, and insufficient alignment with real-world developer workf…

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