Fan Bai

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA


According to our database1, Fan Bai authored at least 11 papers between 2019 and 2024.

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

2024
Information Extraction on Scientific Literature under Limited Supervision.
PhD thesis, 2024

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Schema-Driven Information Extraction from Heterogeneous Tables.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Schema-Driven Information Extraction from Heterogeneous Tables.
CoRR, 2023

Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding.
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.
CoRR, 2022

Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SynKB: Semantic Search for Synthetic Procedures.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Process-Level Representation of Scientific Protocols with Interactive Annotation.
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.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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