Hangfan Zhang

Orcid: 0009-0003-9249-7498

According to our database1, Hangfan Zhang authored at least 16 papers between 2020 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Simple Denoising Diffusion Language Models.
CoRR, October, 2025

The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback.
CoRR, October, 2025

Optimizing Token Choice for Code Watermarking: A RL Approach.
CoRR, August, 2025

If Multi-Agent Debate is the Answer, What is the Question?
CoRR, February, 2025

Simple Distillation for One-Step Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Explainable Reinforcement Learning from Human Feedback to Improve Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reinforcement Learning for Large Language Models via Group Preference Reward Shaping.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing.
Proceedings of the 2025 7th International Conference on Distributed Artificial Intelligence, 2025

2024
Jailbreak Open-Sourced Large Language Models via Enforced Decoding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
CoRR, 2023

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Contrastive Backdoor Attacks.
Proceedings of the International Conference on Machine Learning, 2023

2021
Gray Failures Detection for Shared Bicycles.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

One Engine to Fuzz 'em All: Generic Language Processor Testing with Semantic Validation.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

2020
SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020


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