SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

Open Sesame: Getting inside BERT's Linguistic Knowledge. - Yongjie Lin; Yi Chern Tan; Robert Frank 001 (BlackboxNLP@ACL, 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 2019)

Assessing Social and Intersectional Biases in Contextualized Word Representations. - Yi Chern Tan; L. Elisa Celis (NeurIPS, 2019)

ESPRIT: Explaining Solutions to Physical Reasoning Tasks. - Nazneen Fatema Rajani; Rui Zhang 037; Yi Chern Tan; Stephan Zheng; Jeremy Weiss; Aadit Vyas; Abhijit Gupta; Caiming Xiong; Richard Socher; Dragomir R. Radev (ACL, 2020)

DART: Open-Domain Structured Data Record to Text Generation. - Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Nazneen Fatema Rajani; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (CoRR, 2020)

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. - Tao Yu 009; Chien-Sheng Wu; Xi Victoria Lin; Bailin Wang; Yi Chern Tan; Xinyi Yang 002; Dragomir R. Radev; Richard Socher; Caiming Xiong (ICLR, 2021)

DART: Open-Domain Structured Data Record to Text Generation. - Linyong Nan; Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (NAACL-HLT, 2021)

Aya 23: Open Weight Releases to Further Multilingual Progress. - Viraat Aryabumi; John Dang; Dwarak Talupuru; Saurabh Dash; David Cairuz; Hangyu Lin; Bharat Venkitesh; Madeline Smith; Jon Ander Campos; Yi Chern Tan; Kelly Marchisio; Max Bartolo; et al. (CoRR, 2024)

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. - Muhammad Khalifa; Yi Chern Tan; Arash Ahmadian; Tom Hosking; Honglak Lee; Lu Wang 008; Ahmet Üstün; Tom Sherborne; Matthias Gallé (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - John Dang; Shivalika Singh; Daniel D'souza; Arash Ahmadian; Alejandro Salamanca; Madeline Smith; Aidan Peppin; Sungjin Hong; Manoj Govindassamy; Terrence Zhao; Sandra Kublik; Meor Amer; et al. (CoRR, 2024)

LLMs can implicitly learn from mistakes in-context. - Lisa Alazraki; Maximilian Mozes; Jon Ander Campos; Yi Chern Tan; Marek Rei; Max Bartolo (CoRR, 2025)

Reverse Engineering Human Preferences with Reinforcement Learning. - Lisa Alazraki; Yi Chern Tan; Jon Ander Campos; Maximilian Mozes; Marek Rei; Max Bartolo (CoRR, 2025)