Hang Chen

Orcid: 0000-0002-9141-174X

Affiliations:
  • Xi'an Jiaotong University, Department of Computer Science and Technology, Xi'an, China


According to our database1, Hang Chen authored at least 21 papers between 2022 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 csauthors.net:

Bibliography

2026
Navigating by Old Maps: The Pitfalls of Static Mechanistic Localization in LLM Post-Training.
CoRR, May, 2026

Skill Path: Unveiling Language Skills from Circuit Graphs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
CLUE: Conflict-guided Localization for LLM Unlearning Framework.
CoRR, September, 2025

How to Enhance Causal Discrimination of Emotional Utterances: A Case on LLMs.
IEEE Trans. Affect. Comput., 2025

Enhancing multivariate spatio-temporal forecasting via complete dynamic causal modeling.
Neural Networks, 2025

Towards Causal Relationship in indefinite data: New Datasets and Baseline Model.
J. Data-centric Mach. Learn. Res., 2025

Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Quantifying Semantic Emergence in Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Learning a Structural Causal Model for Intuition Reasoning in Conversation.
IEEE Trans. Knowl. Data Eng., July, 2024

Dialogue Dataset generated by GPT4.
Dataset, January, 2024

Unveiling Language Skills under Circuits.
CoRR, 2024

Quantifying Emergence in Large Language Models.
CoRR, 2024

Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets.
CoRR, 2024

2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations.
CoRR, 2023

SSL Framework for Causal Inconsistency between Structures and Representations.
CoRR, 2023

Learning to Recover Causal Relationship from Indefinite Data in the Presence of Latent Confounders.
CoRR, 2023

Affective Reasoning at Utterance Level in Conversations: A Causal Discovery Approach.
CoRR, 2023

How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms.
CoRR, 2022

Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction.
CoRR, 2022


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