Xiusheng Huang

According to our database1, Xiusheng Huang authored at least 20 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
Pair-In, Pair-Out: Latent Multi-Token Prediction for Efficient LLMs.
CoRR, May, 2026

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice.
CoRR, May, 2026

Hint Tuning: Less Data Makes Better Reasoners.
CoRR, May, 2026

Theory-optimal Quantization Based on Flatness.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024
Reasons and Solutions for the Decline in Model Performance after Editing.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Commonsense Knowledge Editing Based on Free-Text in LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

PSG: Prompt-based Sequence Generation for Acronym Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

A Novel Initial Reminder Framework for Acronym Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing.
CoRR, 2021

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation.
CoRR, 2021

NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Named Entity Recognition via Noise Aware Training Mechanism with Data Filter.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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