Zeguan Xiao

According to our database1, Zeguan Xiao authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter.
CoRR, May, 2026

Representation-Guided Parameter-Efficient LLM Unlearning.
CoRR, April, 2026

Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms.
CoRR, June, 2025

Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers.
CoRR, June, 2025

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
SoP: Unlock the Power of Social Facilitation for Automatic Jailbreak Attack.
CoRR, 2024

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.
CoRR, 2024

Tastle: Distract Large Language Models for Automatic Jailbreak Attack.
CoRR, 2024

Distract Large Language Models for Automatic Jailbreak Attack.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022
Pruning Adatperfusion with Lottery Ticket Hypothesis.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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