A Meta-Analysis of Distributionally-Robust Models. - Benjamin Feuer; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

Caption supervision enables robust learners. - Benjamin Feuer; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

LiT Tuned Models for Efficient Species Detection. - Andre Nakkab; Benjamin Feuer; Chinmay Hegde (CoRR, 2023)

Exploring Dataset-Scale Indicators of Data Quality. - Benjamin Feuer; Chinmay Hegde (CoRR, 2023)

Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks. - Benjamin Feuer; Chinmay Hegde; Niv Cohen (CoRR, 2023)

Distributionally Robust Classification on a Data Budget. - Benjamin Feuer; Ameya Joshi; Minh Pham 005; Chinmay Hegde (Trans. Mach. Learn. Res., 2023)

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. - Benjamin Feuer; Robin Schirrmeister; Valeriia Cherepanova; Chinmay Hegde; Frank Hutter; Micah Goldblum; Niv Cohen; Colin White (NeurIPS, 2024)

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. - Benjamin Feuer; Jiawei Xu; Niv Cohen; Patrick Yubeaton; Govind Mittal; Chinmay Hegde (NeurIPS, 2024)

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. - Chih-Hsuan Yang; Benjamin Feuer; Talukder Zaki Jubery; Zi K. Deng; Andre Nakkab; Md. Zahid Hasan; Shivani Chiranjeevi; Kelly O. Marshall; Nirmal Baishnab; Asheesh Kumar Singh; Arti Singh; Soumik Sarkar; et al. (NeurIPS, 2024)

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. - Chih-Hsuan Yang; Benjamin Feuer; Zaki Jubery; Zi K. Deng; Andre Nakkab; Md. Zahid Hasan; Shivani Chiranjeevi; Kelly O. Marshall; Nirmal Baishnab; Asheesh K. Singh; Arti Singh; Soumik Sarkar; et al. (CoRR, 2024)

LiveBench: A Challenging, Contamination-Free LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Siddartha Naidu; Chinmay Hegde; Yann LeCun; et al. (CoRR, 2024)

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. - Benjamin Feuer; Yurong Liu; Chinmay Hegde; Juliana Freire (Proc. VLDB Endow., 2024)

Hidden in the Noise: Two-Stage Robust Watermarking for Images. - Kasra Arabi; Benjamin Feuer; R. Teal Witter; Chinmay Hegde; Niv Cohen (ICLR, 2025)

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. - Benjamin Feuer; Micah Goldblum; Teresa Datta; Sanjana Nambiar; Raz Besaleli; Samuel Dooley; Max Cembalest; John P. Dickerson (ICLR, 2025)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh Sandha; et al. (ICLR, 2025)

Large Language Models for Data Discovery and Integration: Challenges and Opportunities. - Juliana Freire; Grace Fan; Benjamin Feuer; Christos Koutras; Yurong Liu; Eduardo Peña; Aécio S. R. Santos; Cláudio T. Silva; Eden Wu (IEEE Data Eng. Bull., 2025)

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. - Benjamin Feuer; Chinmay Hegde (CoRR, 2025)

Towards Large Reasoning Models for Agriculture. - Hossein Zaremehrjerdi; Shreyan Ganguly; Ashlyn Rairdin; Elizabeth Tranel; Benjamin Feuer; Juan Ignacio Di Salvo; Srikanth Panthulugiri; Hernan Torres Pacin; Victoria Moser; Sarah Jones; Joscif Raigne; Yanben Shen; et al. (CoRR, 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)

MARVIS: Modality Adaptive Reasoning over VISualizations. - Benjamin Feuer; Lennart Purucker; Oussama Elachqar; Chinmay Hegde (CoRR, 2025)