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Benjamin Feuer
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- 2026
- [c8]Benjamin Feuer
, Lennart Purucker
MARVIS: Modality Adaptive Reasoning over VISualizations. CAIS 2026: 445-472 - [i20]Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar:
Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation. CoRR abs/2603.05485 (2026) - [i19]Negin Raoof, Richard Zhuang, Marianna Nezhurina, Etash Kumar Guha, Atula Tejaswi, Ryan Marten, Charlie F. Ruan, Tyler Griggs, Alexander Glenn Shaw, Hritik Bansal, Estefany Kelly Buchanan, Artem Gazizov, Reinhard Heckel, Chinmay Hegde, Sankalp Jajee, Daanish Khazi, Emmanouil Koukoumidis, Xiangyi Li, Hange Liu, Shlok Natarajan, Harsh Raj, Nicholas Roberts, Ethan Shen, Nishad Singhi, Michael Siu, Ashima Suvarna, Hanwen Xing, Patrick Yubeaton, Robert Zhang, Leon Liangyu Chen, Xiaokun Chen, Steven Dillmann, Saadia Gabriel, Xunyi Jiang, Anurag Kashyap, Boxuan Li, Yein Park, Minh Pham, Sujay Sanghavi, Lin Shi, Ke Sun, Yixin Wang, Zhiwei Xu, Erica Zhang, Siyan Zhao, Wanjia Zhao, Jenia Jitsev, Alex Dimakis, Benjamin Feuer, Ludwig Schmidt:
OpenThoughts-Agent: Data Recipes for Agentic Models. CoRR abs/2606.24855 (2026) - 2025
- [j3]Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo H. M. Pena, Aécio S. R. Santos, Cláudio T. Silva, Eden Wu:
Large Language Models for Data Discovery and Integration: Challenges and Opportunities. IEEE Data Eng. Bull. 49(1): 3-31 (2025) - [c7]Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen:
Hidden in the Noise: Two-Stage Robust Watermarking for Images. ICLR 2025 - [c6]Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson:
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. ICLR 2025 - [c5]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:
LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR 2025 - [c4]Benjamin Feuer, Chinmay Hegde:
WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. ICML 2025 - [i18]Benjamin Feuer
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. CoRR abs/2501.18511 (2025) - [i17]Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin, Elizabeth Tranel, Benjamin Feuer
Towards Large Reasoning Models for Agriculture. CoRR abs/2505.19259 (2025) - [i16]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
OpenThoughts: Data Recipes for Reasoning Models. CoRR abs/2506.04178 (2025) - [i15]Benjamin Feuer
MARVIS: Modality Adaptive Reasoning over VISualizations. CoRR abs/2507.01544 (2025) - [i14]Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P. Dickerson:
When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity. CoRR abs/2509.20293 (2025) - 2024
- [j2]Benjamin Feuer
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. Proc. VLDB Endow. 17(9): 2279-2292 (2024) - [c3]Benjamin Feuer, Robin Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White:
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. NeurIPS 2024 - [c2]Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde:
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. NeurIPS 2024 - [c1]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:
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. NeurIPS 2024 - [i13]Benjamin Feuer
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR abs/2402.11137 (2024) - [i12]Chih-Hsuan Yang, Benjamin Feuer
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR abs/2406.17720 (2024) - [i11]Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer
LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR abs/2406.19314 (2024) - [i10]Benjamin Feuer
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. CoRR abs/2409.15268 (2024) - [i9]Benjamin Feuer
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. CoRR abs/2410.05057 (2024) - [i8]Kasra Arabi, Benjamin Feuer
Hidden in the Noise: Two-Stage Robust Watermarking for Images. CoRR abs/2412.04653 (2024) - 2023
- [j1]Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde:
Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. 2023 (2023) - [i7]Andre Nakkab, Benjamin Feuer
LiT Tuned Models for Efficient Species Detection. CoRR abs/2302.10281 (2023) - [i6]Benjamin Feuer
Distributionally Robust Classification on a Data Budget. CoRR abs/2308.03821 (2023) - [i5]Benjamin Feuer
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. CoRR abs/2310.18208 (2023) - [i4]Benjamin Feuer
Exploring Dataset-Scale Indicators of Data Quality. CoRR abs/2311.04016 (2023) - [i3]Benjamin Feuer
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks. CoRR abs/2311.10609 (2023) - 2022
- [i2]Benjamin Feuer, Ameya Joshi, Chinmay Hegde
A Meta-Analysis of Distributionally-Robust Models. CoRR abs/2206.07565 (2022) - [i1]Benjamin Feuer, Ameya Joshi, Chinmay Hegde
Caption supervision enables robust learners. CoRR abs/2210.07396 (2022)
Coauthor Index
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