We stand with Ukraine

We stand with Ukraine

Lei Huang

Orcid: 0009-0002-9650-8353

Affiliations:

Harbin Institute of Technology, China

According to our database¹, Lei Huang authored at least 32 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on scholar.google.com

On csauthors.net:

Bibliography

2026

From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation.

[DOI]

,

,

,

,

,

,

CoRR, May, 2026

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information.

[DOI]

,

,

,

,

,

,

CoRR, May, 2026

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

CoRR, May, 2026

SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

CoRR, April, 2026

x1: Learning to Think Adaptively Across Languages and Cultures.

[DOI]

,

,

,

,

,

,

,

,

,

,

CoRR, April, 2026

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?

[DOI]

,

,

,

,

,

,

CoRR, March, 2026

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning.

[DOI]

,

,

,

,

,

,

,

,

CoRR, March, 2026

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training.

[DOI]

,

,

,

,

CoRR, February, 2026

Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

One for All: Update Parameterized Knowledge Across Multiple Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

CoRR, June, 2025

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

[DOI]

,

,

,

,

,

,

,

,

,

,

ACM Trans. Inf. Syst., March, 2025

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.

[DOI]

,

,

,

,

,

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

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis.

[DOI]

,

,

,

,

,

,

Proceedings of the 31st International Conference on Computational Linguistics, 2025

SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit.

[DOI]

,

,

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Length Controlled Generation for Black-box LLMs.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Length Controlled Generation for Black-box LLMs.

[DOI]

,

,

,

,

,

,

,

CoRR, 2024

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

Rethinking Entity-level Unlearning for Large Language Models.

[DOI]

,

,

,

,

,

CoRR, 2024

Discrete Modeling via Boundary Conditional Diffusion Processes.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Large Language Model Attribution through Self-Improving.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, 2023

Loading...