Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models. - Sedrick Scott Keh; I-Tsun Cheng (CoRR, 2019)

Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification. - Sedrick Scott Keh (CoRR, 2020)

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation. - Sedrick Scott Keh; Kevin Lu; Varun Gangal; Steven Y. Feng; Harsh Jhamtani; Malihe Alikhani; Eduard H. Hovy (COLING, 2022)

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation. - Sedrick Scott Keh; Rohit Bharadwaj 001; Emmy Liu; Simone Tedeschi; Varun Gangal; Roberto Navigli (CoRR, 2022)

Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings. - Sedrick Scott Keh (CoRR, 2022)

NewsPanda: Media Monitoring for Timely Conservation Action. - Sedrick Scott Keh; Zheyuan Ryan Shi; David J. Patterson 001; Nirmal Bhagabati; Karun Dewan; Areendran Gopala; Pablo Izquierdo; Debojyoti Mallick; Ambika Sharma; Pooja Shrestha; Fei Fang 001 (AAAI, 2023)

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically. - Sedrick Scott Keh; Steven Y. Feng; Varun Gangal; Malihe Alikhani; Eduard H. Hovy (EACL, 2023)

Doolittle: Benchmarks and Corpora for Academic Writing Formalization. - Shizhe Diao; Yongyu Lei; Liangming Pan; Tianqing Fang; Wangchunshu Zhou; Sedrick Scott Keh; Min-Yen Kan; Tong Zhang 001 (EMNLP, 2023)

Hashtag-Guided Low-Resource Tweet Classification. - Shizhe Diao; Sedrick Scott Keh; Liangming Pan; Zhiliang Tian; Yan Song 003; Tong Zhang 001 (WWW, 2023)

Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. - Sameer Jain; Sedrick Scott Keh; Shova Chettri; Karun Dewan; Pablo Izquierdo; Johanna Prussman; Pooja Shrestha; César Suárez; Zheyuan Ryan Shi; Lei Li 005; Fei Fang 001 (AAAI, 2024)

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages. - Holy Lovenia; Rahmad Mahendra; Salsabil Maulana Akbar; Lester James V. Miranda; Jennifer Santoso; Elyanah Aco; Akhdan Fadhilah; Jonibek Mansurov; Joseph Marvin Imperial; Onno Kampman; Joel Ruben Antony Moniz; Muhammad Ravi Shulthan Habibi; et al. (EMNLP, 2024)

Asking More Informative Questions for Grounded Retrieval. - Sedrick Keh; Justin T. Chiu; Daniel Fried (NAACL-HLT (Findings), 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

A Critical Evaluation of AI Feedback for Aligning Large Language Models. - Archit Sharma; Sedrick Scott Keh; Eric Mitchell; Chelsea Finn; Kushal Arora; Thomas Kollar (NeurIPS, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages. - Holy Lovenia; Rahmad Mahendra; Salsabil Maulana Akbar; Lester James V. Miranda; Jennifer Santoso; Elyanah Aco; Akhdan Fadhilah; Jonibek Mansurov; Joseph Marvin Imperial; Onno Pepijn Kampman; Joel Ruben Antony Moniz; Muhammad Ravi Shulthan Habibi; et al. (CoRR, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (ICLR, 2025)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)