Gang Chen

Orcid: 0000-0002-6671-2903

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Natural Language Processing Group, China
  • Beijing National Research Center for Information Science and Technology, China


According to our database1, Gang Chen authored at least 20 papers between 2019 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
From Context to Skills: Can Language Models Learn from Context Skillfully?
CoRR, April, 2026

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs.
CoRR, January, 2026

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FaithLens: Detecting and Explaining Faithfulness Hallucination.
CoRR, December, 2025

From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition.
CoRR, December, 2025

RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context.
CoRR, November, 2025

A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks.
CoRR, October, 2025

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding.
CoRR, July, 2025

GATEAU: Selecting Influential Samples for Long Context Alignment.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Document Segmentation Matters for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.
CoRR, 2024

HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2021
Learning to Generate Explainable Plots for Neural Story Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Towards a universal continuous knowledge base.
AI Open, 2021

Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Neural machine translation: A review of methods, resources, and tools.
AI Open, 2020

Tsinghua University Neural Machine Translation Systems for CCMT 2020.
Proceedings of the Machine Translation - 16th China Conference, 2020

THUMT: An Open-Source Toolkit for Neural Machine Translation.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

2019
Learning to Predict Explainable Plots for Neural Story Generation.
CoRR, 2019


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