Benjamin Feuer

According to our database, Benjamin Feuer authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 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

CoRR, 2024

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

CoRR, 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

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

CoRR, 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