◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ting Peng

7 papers hereh-index 455 citations8 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SE4
  • cs.AI2
  • cs.CL1
same name
  • Ting Peng — 8 papers, h 2
  • Ting Peng — 3 papers, h 1
  • Ting Peng — 3 papers, h 2
  • Ting Peng — 2 papers, h 1
  • Ting Peng — 1 paper, h 1
  • Ting Peng — 1 paper, h 3

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
20242026
most citedExploring Multi-Lingual Bias of Large Code Models in Code Generation

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale

Jia Li, Wenyuan Ma, Ting Peng +2

Diagnosing mobile crashes in ultra-large-scale industrial applications is a formidable challenge due to the sheer volume of code, the complexity of mixed-language environments, and…

cs.AI2026

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair

Jia Li, Yuxin Su, Ting Peng +3

Code-agent RL often receives weak feedback: rollout-time signals are reliable and executable, but capture only necessary or surface conditions for task success rather than the targ…

cs.SE2026

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing

Chaozheng Wang, Zezhou Yang, Shuzheng Gao +7

Code editing constitutes a fundamental practice in software development, wherein developers modify existing codebases according to natural language requirements. Accurate code edit…

cs.CL2026

Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage

Junhao Hu, Fangze Li, Mingtao Xu +9

Large language models (LLMs) demonstrate strong capabilities across a wide range of complex tasks and are increasingly deployed at scale, placing significant demands on inference e…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.