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@pkunlp-icler

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S1s-Z/README.md

Hi πŸ§‘πŸ»β€πŸ’»πŸ‘‹πŸ»

I am Shuzheng Si (司书正 in Chinese ✍🏻), a second-year Ph.D. candidate in the Department of Computer Science and Technology at Tsinghua University. I am lucky to be advised by Prof. Maosong Sun and affiliated with TsinghuaNLP Lab.

Now, my research interests lie in Natural Language Processing (NLP) and Large Language Models (LLMs). Recently, I have been interested in investigating LLMs' hallucinations from a data perspective and exploring data-driven hallucination mitigation methods for information-seeking tools. Find my up-to-date publication list in πŸ”— Google Scholar.

Feel free to drop an email if you are interested in connecting πŸ§‘πŸ»β€πŸ€β€πŸ§‘πŸ».

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  1. GATEAU GATEAU Public

    [EMNLP'25, SAC Highlights Paper Award] Code for "GATEAU: Selecting Influential Samples for Long Context Alignment"

    Python 40

  2. CANOE CANOE Public

    [AAAI'26, Oral] Code for "Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning"

    Python 43

  3. FaithLens FaithLens Public

    Code for "FaithLens: Detecting and Explaining Faithfulness Hallucination"

    Python 97 9

  4. NOVA NOVA Public

    [ACL'25] Code for "Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering"

    Python 21

  5. SANTA SANTA Public

    [ACL'23] Code for "SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition"

    Python 39 2

  6. SCL-RAI SCL-RAI Public

    [COLING'22] Code for "SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER"

    Python 45 3