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Fan Bai 0006
Person information
- unicode name: 白帆
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Fan Bai — disambiguation page
- Fan Bai 0001 — Fudan University, Shanghai, China
- Fan Bai 0002 — General Motors Research, Warren, MI, USA
- Fan Bai 0003 — Georgia State University, Atlanta, GA, USA
- Fan Bai 0004 — Harbin Institute of Technology, Weihai, China
- Fan Bai 0005 — China University of Mining and Technology, Xuzhou, China
- Fan Bai 0007 — University of Duisburg-Essen, Germany
- Fan Bai 0008 — Chinese University of Hong Kong, Department of Electronic Engineering, Shatin, Hong Kong (and 1 more)
- Fan Bai 0009 — Peking University, Biomedical Pioneering Innovation Center, BIOPIC, School of Life Sciences, China
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2020 – today
- 2024
- [b1]Fan Bai:
Information Extraction on Scientific Literature under Limited Supervision. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c8]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. EMNLP (Findings) 2024: 10252-10273 - [c7]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR 2024 - [i9]Fan Bai, Keith Harrigian, Joel Stremmel, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze:
Give me Some Hard Questions: Synthetic Data Generation for Clinical QA. CoRR abs/2412.04573 (2024) - 2023
- [c6]Janvijay Singh, Fan Bai, Zhen Wang:
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding. EACL 2023: 1247-1255 - [i8]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. CoRR abs/2305.14336 (2023) - [i7]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR abs/2310.16427 (2023) - 2022
- [c5]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. EMNLP (Demos) 2022: 311-318 - [c4]Nghia T. Le, Fan Bai, Alan Ritter:
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts. EMNLP (Findings) 2022: 2693-2706 - [i6]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. CoRR abs/2208.07400 (2022) - [i5]Nghia T. Le, Fan Bai, Alan Ritter:
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts. CoRR abs/2210.03690 (2022) - [i4]Janvijay Singh, Fan Bai, Zhen Wang:
Frustratingly Simple Entity Tracking with Effective Use of Multi-Task Learning Models. CoRR abs/2210.06444 (2022) - 2021
- [c3]Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky:
Process-Level Representation of Scientific Protocols with Interactive Annotation. EACL 2021: 2190-2202 - [c2]Fan Bai, Alan Ritter, Wei Xu:
Pre-train or Annotate? Domain Adaptation with a Constrained Budget. EMNLP (1) 2021: 5002-5015 - [i3]Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky:
Process-Level Representation of Scientific Protocols with Interactive Annotation. CoRR abs/2101.10244 (2021) - [i2]Fan Bai, Alan Ritter, Wei Xu:
Pre-train or Annotate? Domain Adaptation with a Constrained Budget. CoRR abs/2109.04711 (2021)
2010 – 2019
- 2019
- [c1]Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. NAACL-HLT (1) 2019: 3057-3069 - [i1]Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. CoRR abs/1904.00118 (2019)
Coauthor Index
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