Benjamin Feuer

According to our database, Benjamin Feuer authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MARVIS: Modality Adaptive Reasoning over VISualizations.

Benjamin Feuer, Lennart Purucker, Oussama Elachqar, Chinmay Hegde

CoRR, July, 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, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt

CoRR, June, 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, Heidi M. Dornath, Aditya Balu, Adarsh Krishnamurthy, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar

CoRR, May, 2025

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training.

Benjamin Feuer, Chinmay Hegde

CoRR, January, 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

LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hidden in the Noise: Two-Stage Robust Watermarking for Images.

Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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., May, 2024

LiveBench: A Challenging, Contamination-Free LLM Benchmark.

Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

CoRR, 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, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

CoRR, 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, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Distributionally Robust Classification on a Data Budget.

Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

Trans. Mach. Learn. Res., 2023

Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks.

Benjamin Feuer, Chinmay Hegde, Niv Cohen

CoRR, 2023

Exploring Dataset-Scale Indicators of Data Quality.

Benjamin Feuer, Chinmay Hegde

CoRR, 2023

LiT Tuned Models for Efficient Species Detection.

Andre Nakkab, Benjamin Feuer, Chinmay Hegde

CoRR, 2023

2022

Caption supervision enables robust learners.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022

A Meta-Analysis of Distributionally-Robust Models.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022