Improving Text-to-SQL Evaluation Methodology. - Catherine Finegan-Dollak; Jonathan K. Kummerfeld; Li Zhang 039; Karthik Ramanathan; Sesh Sadasivam; Rui Zhang 037; Dragomir R. Radev (ACL (1), 2018)

Entity and Event Extraction from Scratch Using Minimal Training Data. - Laura Wendlandt; Steven R. Wilson 001; Oana Ignat; Charles Welch; Li Zhang 039; Mingzhe Wang; Jia Deng 001; Rada Mihalcea (TAC, 2018)

Sequential Network Transfer: Adapting Sentence Embeddings to Human Activities and Beyond. - Li Zhang 039; Steven R. Wilson 001; Rada Mihalcea (CoRR, 2018)

Multi-Label Transfer Learning for Semantic Similarity. - Li Zhang 039; Steven R. Wilson 001; Rada Mihalcea (CoRR, 2018)

Multi-Label Transfer Learning for Multi-Relational Semantic Similarity. - Li Zhang 039; Steven R. Wilson 001; Rada Mihalcea (*SEM@NAACL-HLT, 2019)

Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (EMNLP (1), 2020)

Small but Mighty: New Benchmarks for Split and Rephrase. - Li Zhang 039; Huaiyu Zhu 001; Siddhartha Brahma; Yunyao Li 001 (EMNLP (1), 2020)

Intent Detection with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (AACL/IJCNLP, 2020)

Visual Goal-Step Inference using wikiHow. - Yue Yang 006; Artemis Panagopoulou; Qing Lyu 001; Li Zhang 039; Mark Yatskar; Chris Callison-Burch (EMNLP (1), 2021)

Goal-Oriented Script Construction. - Qing Lyu 001; Li Zhang 039; Chris Callison-Burch (INLG, 2021)

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. - Shuyan Zhou; Li Zhang 039; Yue Yang 006; Qing Lyu 001; Pengcheng Yin; Chris Callison-Burch; Graham Neubig (ACL (1), 2022)

Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection. - Young Min Cho; Li Zhang 039; Chris Callison-Burch (EMNLP, 2022)

Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. - Qing Lyu 001; Zheng Hua; Daoxin Li; Li Zhang 039; Marianna Apidianaki; Chris Callison-Burch (NAACL-HLT, 2022)

Label Definitions Improve Semantic Role Labeling. - Li Zhang 039; Ishan Jindal; Yunyao Li 001 (NAACL-HLT, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Human-in-the-loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Leon Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (ACL (demo), 2023)

Causal Reasoning of Entities and Events in Procedural Texts. - Li Zhang 039; Hainiu Xu; Yue Yang 006; Shuyan Zhou; Weiqiu You; Manni Arora; Chris Callison-Burch (EACL (Findings), 2023)

Faithful Chain-of-Thought Reasoning. - Qing Lyu 001; Shreya Havaldar; Adam Stein; Li Zhang 039; Delip Rao; Eric Wong 001; Marianna Apidianaki; Chris Callison-Burch (IJCNLP (1), 2023)

Language Models are Drummers: Drum Composition with Natural Language Pre-Training. - Li Zhang 039; Chris Callison-Burch (CoRR, 2023)

Human-in-the-Loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Liyang Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (CoRR, 2023)

Exploring the Curious Case of Code Prompts. - Li Zhang 039; Liam Dugan; Hainiu Xu; Chris Callison-Burch (CoRR, 2023)

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. - Bodhisattwa Prasad Majumder; Bhavana Dalvi Mishra; Peter A. Jansen; Oyvind Tafjord; Niket Tandon; Li Zhang 039; Chris Callison-Burch; Peter Clark (CoRR, 2023)

One Size Does Not Fit All: Customizing Open-Domain Procedures. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (ACL (Findings), 2024)

Choice-75: A Dataset on Decision Branching in Script Learning. - Zhaoyi Hou; Li Zhang 039; Chris Callison-Burch (LREC/COLING, 2024)

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. - Li Zhang 039; Hainiu Xu; Abhinav Kommula; Chris Callison-Burch; Niket Tandon (EACL (1), 2024)

PDDLEGO: Iterative Planning in Textual Environments. - Li Zhang 039; Peter A. Jansen; Tianyi Zhang; Peter Clark; Chris Callison-Burch; Niket Tandon (*SEM@NAACL, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts. - Tianyi Zhang; Li Zhang 039; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. - Li Zhang 039; Basu Jindal; Ahmed Alaa; Robert Weinreb; David Wilson; Eran Segal; James Zou 001; Pengtao Xie (CoRR, 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

Natural Language Planning via Coding and Inference Scaling. - Rikhil Amonkar; Ronan Le Bras 001; Li Zhang 039 (CoRR, 2025)