Pengfei Yu

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (PhD 2024)
  • Tsinghua University, Speech Processing and Machine Intelligence (SPMI) Lab, Beijing, China (until 2019)


According to our database1, Pengfei Yu authored at least 19 papers between 2018 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models.
CoRR, 2024

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries.
CoRR, 2024

Why Does New Knowledge Create Messy Ripple Effects in LLMs?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Self Information Update for Large Language Models through Mitigating Exposure Bias.
CoRR, 2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.
CoRR, 2023

Defining a New NLP Playground.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Shorten the Long Tail for Rare Entity and Event Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Unlearning Bias in Language Models by Partitioning Gradients.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
MUSE: Textual Attributes Guided Portrait Painting Generation.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

Lifelong Event Detection with Knowledge Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
MUSE: Illustrating Textual Attributes by Portrait Generation.
CoRR, 2020

2018
Tracking of Enriched Dialog States for Flexible Conversational Information Access.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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