Fan Bai

According to our database, Fan Bai authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs.

Kaiser Sun, Xiaochuang Yuan, Hongjun Liu, Chen Zhao, Cheng Zhang, Mark Dredze, Fan Bai

CoRR, March, 2026

FIRE-Bench: Evaluating Agents on the Rediscovery of Scientific Insights.

Zhen Wang, Fan Bai, Zhongyan Luo, Jinyan Su, Kaiser Sun, Xinle Yu, Jieyuan Liu, Kun Zhou, Claire Cardie, Mark Dredze, Eric P. Xing, Zhiting Hu

CoRR, February, 2026

2025

What Is Seen Cannot Be Unseen: The Disruptive Effect of Knowledge Conflict on Large Language Models.

Kaiser Sun, Fan Bai, Mark Dredze

CoRR, June, 2025

Label-Guided In-Context Learning for Named Entity Recognition.

Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze

CoRR, May, 2025

LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition.

Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Information Extraction on Scientific Literature under Limited Supervision.

Fan Bai

PhD thesis, 2024

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA.

Fan Bai, Keith Harrigian, Joel Stremmel, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze

CoRR, 2024

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Schema-Driven Information Extraction from Heterogeneous Tables.

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Schema-Driven Information Extraction from Heterogeneous Tables.

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter

CoRR, 2023

Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding.

Janvijay Singh, Fan Bai, Zhen Wang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Frustratingly Simple Entity Tracking with Effective Use of Multi-Task Learning Models.

Janvijay Singh, Fan Bai, Zhen Wang

CoRR, 2022

Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts.

Nghia T. Le, Fan Bai, Alan Ritter

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SynKB: Semantic Search for Synthetic Procedures.

Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Pre-train or Annotate? Domain Adaptation with a Constrained Budget.

Fan Bai, Alan Ritter, Wei Xu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Process-Level Representation of Scientific Protocols with Interactive Annotation.

Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2019

Structured Minimally Supervised Learning for Neural Relation Extraction.

Fan Bai, Alan Ritter

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019