Weitao Ma

Orcid: 0009-0007-8631-3858

According to our database1, Weitao Ma authored at least 17 papers between 2012 and 2025.

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

Timeline

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Links

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Bibliography

2025
Adaptive Backtracking for Privacy Protection in Large Language Models.
CoRR, August, 2025

One for All: Update Parameterized Knowledge Across Multiple Models.
CoRR, June, 2025

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
ACM Trans. Inf. Syst., March, 2025

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
CoRR, March, 2025

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.
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.
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.
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.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.
CoRR, 2024

Rethinking Entity-level Unlearning for Large Language Models.
CoRR, 2024

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Large Language Model Attribution through Self-Improving.
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.
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.
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.
CoRR, 2023

2012
Manufacturing Cost Modelling for Aerospace Composite Applications.
Proceedings of the Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment, 2012


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