Multi-Granular Text Encoding for Self-Explaining Categorization. - Zhiguo Wang; Yue Zhang 004; Mo Yu; Wei Zhang; Lin Pan 003; Linfeng Song; Kun Xu 005; Yousef El-Kurdi (BlackboxNLP@ACL, 2019)

CFO: A Framework for Building Production NLP Systems. - Rishav Chakravarti; Cezar Pendus; Andrzej Sakrajda; Anthony Ferritto; Lin Pan 003; Michael R. Glass; Vittorio Castelli; J. William Murdock; Radu Florian; Salim Roukos; Avirup Sil (EMNLP/IJCNLP (3), 2019)

Frustratingly Easy Natural Question Answering. - Lin Pan 003; Rishav Chakravarti; Anthony Ferritto; Michael R. Glass; Alfio Gliozzo; Salim Roukos; Radu Florian; Avirup Sil (CoRR, 2019)

Ensembling Strategies for Answering Natural Questions. - Anthony Ferritto; Lin Pan 003; Rishav Chakravarti; Salim Roukos; Radu Florian; J. William Murdock; Avirup Sil (CoRR, 2019)

The TechQA Dataset. - Vittorio Castelli; Rishav Chakravarti; Saswati Dana; Anthony Ferritto; Radu Florian; Martin Franz; Dinesh Garg; Dinesh Khandelwal; J. Scott McCarley; Mike McCawley; Mohamed Nasr; Lin Pan 003; et al. (ACL, 2020)

Span Selection Pre-training for Question Answering. - Michael R. Glass; Alfio Gliozzo; Rishav Chakravarti; Anthony Ferritto; Lin Pan 003; G. P. Shrivatsa Bhargav; Dinesh Garg; Avirup Sil (ACL, 2020)

Towards building a Robust Industry-scale Question Answering System. - Rishav Chakravarti; Anthony Ferritto; Bhavani Iyer; Lin Pan 003; Radu Florian; Salim Roukos; Avi Sil (COLING (Industry), 2020)

ARES: A Reading Comprehension Ensembling Service. - Anthony Ferritto; Lin Pan 003; Rishav Chakravarti; Salim Roukos; Radu Florian; J. William Murdock; Avirup Sil (EMNLP (Demos), 2020)

Benchmarking Intent Detection for Task-Oriented Dialog Systems. - Haode Qi; Lin Pan 003; Atin Sood; Abhishek Shah; Ladislav Kunc; Saloni Potdar (CoRR, 2020)

Multilingual Transfer Learning for QA using Translation as Data Augmentation. - Mihaela A. Bornea; Lin Pan 003; Sara Rosenthal; Radu Florian; Avirup Sil (AAAI, 2021)

Multilingual BERT Post-Pretraining Alignment. - Lin Pan 003; Chung-Wei Hang; Haode Qi; Abhishek Shah; Saloni Potdar; Mo Yu (NAACL-HLT, 2021)

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations. - Haode Qi; Lin Pan 003; Atin Sood; Abhishek Shah; Ladislav Kunc; Mo Yu; Saloni Potdar (NAACL-HLT (Industry Papers), 2021)

Improved Text Classification via Contrastive Adversarial Training. - Lin Pan 003; Chung-Wei Hang; Avirup Sil; Saloni Potdar; Mo Yu (CoRR, 2021)

Improved Text Classification via Contrastive Adversarial Training. - Lin Pan 003; Chung-Wei Hang; Avirup Sil; Saloni Potdar (AAAI, 2022)

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Yiyun Zhao; Jiarong Jiang; Yiqun Hu; Wuwei Lan; Henry Zhu; Anuj Chauhan; Alexander Hanbo Li; Lin Pan 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 012; Marvin Dong; et al. (CoRR, 2022)

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Yiqun Hu; Yiyun Zhao; Jiarong Jiang; Wuwei Lan; Henghui Zhu; Anuj Chauhan; Alexander Hanbo Li; Lin Pan 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 029; Jiang Guo; et al. (ACL (Findings), 2023)

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. - Shuaichen Chang; Jun Wang 122; Mingwen Dong; Lin Pan 003; Henghui Zhu; Alexander Hanbo Li; Wuwei Lan; Sheng Zhang 029; Jiarong Jiang; Joseph Lilien; Steve Ash; William Yang Wang; et al. (ICLR, 2023)

UNITE: A Unified Benchmark for Text-to-SQL Evaluation. - Wuwei Lan; Zhiguo Wang; Anuj Chauhan; Henghui Zhu; Alexander Hanbo Li; Jiang Guo; Sheng Zhang 029; Chung-Wei Hang; Joseph Lilien; Yiqun Hu; Lin Pan 003; Mingwen Dong; et al. (CoRR, 2023)

Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall. - Jiaqing Yuan; Lin Pan 003; Chung-Wei Hang; Jiang Guo; Jiarong Jiang; Bonan Min; Patrick Ng; Zhiguo Wang (CoRR, 2024)

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. - Mingwen Dong; Nischal Ashok Kumar; Yiqun Hu; Anuj Chauhan; Chung-Wei Hang; Shuaichen Chang; Lin Pan 003; Wuwei Lan; Henghui Zhu; Jiarong Jiang; Patrick Ng; Zhiguo Wang (NAACL (Long Papers), 2025)