High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. - Iddo Drori; Isht Dwivedi; Pranav Shrestha; Jeffrey Wan; Yueqi Wang; Yunchu He; Anthony Mazza; Hugh Krogh-Freeman; Dimitri Leggas; Kendal Sandridge; Linyong Nan; Kaveri A. Thakoor; et al. (CoRR, 2018)

Guigle: a GUI search engine for Android apps. - Carlos Bernal-Cárdenas; Kevin Moran; Michele Tufano; Zichang Liu; Linyong Nan; Zhehan Shi; Denys Poshyvanyk (ICSE (Companion Volume), 2019)

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. - Iddo Drori; Darshan Thaker; Arjun Srivatsa; Daniel Jeong; Yueqi Wang; Linyong Nan; Fan Wu; Dimitri Leggas; Jinhao Lei; Weiyi Lu; Weilong Fu; Yuan Gao; et al. (CoRR, 2019)

Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages. - Efsun Sarioglu Kayi; Linyong Nan; Bohan Qu; Mona T. Diab; Kathleen R. McKeown (COLING, 2020)

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)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Nick Schoelkopf; Riley Kong; Xiangru Tang; Murori Mutuma; Ben Rosand; et al. (CoRR, 2021)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 2022)

R2D2: Robust Data-to-Text with Replacement Detection. - Linyong Nan; Lorenzo Jaime Yu Flores; Yilun Zhao 001; Yixin Liu 003; Luke Benson; Weijin Zou; Dragomir Radev (EMNLP, 2022)

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. - Yilun Zhao 001; Linyong Nan; Zhenting Qi; Rui Zhang 037; Dragomir Radev (EMNLP, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Hailey Schoelkopf; Riley Kong; Xiangru Tang; Mutethia Mutuma; Ben Rosand; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (ACL (1), 2023)

OpenRT: An Open-source Framework for Reasoning Over Tabular Data. - Yilun Zhao 001; Boyu Mi; Zhenting Qi; Linyong Nan; Minghao Guo; Arman Cohan; Dragomir Radev (ACL (demo), 2023)

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. - Yilun Zhao 001; Chen Zhao; Linyong Nan; Zhenting Qi; Wenlin Zhang; Xiangru Tang; Boyu Mi; Dragomir Radev (ACL (1), 2023)

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Lorenzo Jaime Yu Flores; Dragomir Radev (EACL, 2023)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (EMNLP (Industry Track), 2023)

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (EMNLP (Findings), 2023)

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (CoRR, 2023)

QTSumm: A New Benchmark for Query-Focused Table Summarization. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Xiangru Tang; Yumo Xu; Arman Cohan; Dragomir Radev (CoRR, 2023)

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (CoRR, 2023)

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Linyong Nan; Lyuhao Chen; Ryo Kamoi; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (CoRR, 2023)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. - Yilun Zhao 001; Yitao Long; Hongjun Liu 001; Ryo Kamoi; Linyong Nan; Lyuhao Chen; Yixin Liu 003; Xiangru Tang; Rui Zhang 037; Arman Cohan (ACL (1), 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems. - Linyong Nan; Weining Fang; Aylin Rasteh; Pouya Lahabi; Weijin Zou; Yilun Zhao 001; Arman Cohan (EMNLP (Industry Track), 2024)

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. - Linyong Nan; Ellen Zhang; Weijin Zou; Yilun Zhao 001; Wenfei Zhou; Arman Cohan (NAACL-HLT (Findings), 2024)