Hangfan Zhang
Orcid: 0009-0003-9249-7498
According to our database1,
Hangfan Zhang authored at least 16 papers
between 2020 and 2026.
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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
The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback.
CoRR, October, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
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
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
2021
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