Hongyu Zhang
- Papers
- 22
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Authored papers
22Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey
arXiv 2026
Rethinking Video Generation Model for the Embodied World
arXiv 2026
CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
arXiv 2026
OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution
arXiv 2025
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
arXiv 2025
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
arXiv 2025
MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation
arXiv 2025
LongCodeZip: Compress Long Context for Code Language Models
arXiv 2025
Can Large Language Models Understand Intermediate Representations?
arXiv 2025
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
arXiv 2024
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
arXiv 2024
Multi-Objective Fine-Tuning for Enhanced Program Repair with LLMs
arXiv 2024
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
arXiv 2024
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
arXiv 2024
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
arXiv 2024
Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
arXiv 2024
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
arXiv 2024
SoTaNa: The Open-Source Software Development Assistant
arXiv 2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
arXiv 2023
What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?
arXiv 2023
Split, Encode and Aggregate for Long Code Search
arXiv 2022
On the Evaluation of Commit Message Generation Models: An Experimental Study
arXiv 2021
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