Feuer, Benjamin

10 publications

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

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

ICLR 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 Venkat Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

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

ICML 2025 WildChat-50m: A Deep Dive into the Role of Synthetic Data in Post-Training Benjamin Feuer, Chinmay Hegde

NeurIPSW 2024 Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

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

TMLR 2023 Distributionally Robust Classification on a Data Budget Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

NeurIPSW 2023 Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Benjamin Feuer, Niv Cohen, Chinmay Hegde