Publications

2026

1. 

   Attention-Aligned Reasoning for Large Language Models

   LLM Reasoning; Attention Alignment; Prompt Engineering

   Hongxiang Zhang, Yuan Tian, and Tianyi Zhang

   In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026

   EMNLP 2026 Findings

   arXiv

2. 

   Enhancing Multi-Agent Communication through Attention Steering with Context Relevance

   Multi-agent systems; Attention Alignment; Context Management

   Hongxiang Zhang, Yuan Tian, and Tianyi Zhang

   2026

   Under review

   arXiv

3. 

   FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement

   Code Refinement; Fault Localization; Test-time Scaling

   Yinsheng Yao, Hongxiang Zhang, Weixi Tong, and 1 more author

   2026

   Under review

   arXiv

4. 

   LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing

   LLM for Systems; Greybox Fuzzing; Software Testing

   Hongxiang Zhang, Yuyang Rong, Yifeng He, and 1 more author

   In Proceedings of the 2026 IEEE/ACM International Conference on Automation of Software Test, 2026

   AST 2026

   arXiv

2025

1. 

   Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation

   Hallucination Mitigation; Decoding; Reinforcement Learning

   Hongxiang Zhang, Hao Chen, Muhao Chen, and 1 more author

   In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

   EMNLP 2025 Main

   arXiv Code Website

2024

1. SteerDiff: Steering towards Safe Text-to-Image Diffusion Models

   Safe Generative AI; Prompt Steering; Diffusion Models

   Hongxiang Zhang, Yifeng He, and Hao Chen

   2024

   arXiv