Michael Krumdick

Publications

ACL 2026 On Finding Inconsistencies in Documents
Charles J. Lovering, Seth Ebner, Brandon Smock, Michael Krumdick, Saad Rabbani, Ahmed Muhammad, Varshini Reddy, Chris Tanner.

ACL 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts
Charles Lovering, Michael Krumdick, Viet Dac Lai, Seth Ebner, Nilesh Kumar, Varshini Reddy, Rik Koncel-Kedziorski, Chris Tanner.
NeurIPS 2025 BLEUBERI: BLEU is a Surprisingly Effective Reward for Instruction Following
Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer.
NeurIPS 2025 Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Lynn Abbott.
FinNLP 2025 SEC-QA: A Systematic Evaluation Corpus for Financial QA
Viet Dac Lai, Michael Krumdick, Charles Lovering, Varshini Reddy, Craig Schmidt, Chris Tanner.

ACL 2024 BizBench: A Quantitative Reasoning Benchmark for Business and Finance
Michael Krumdick, Rik Koncel-Kedziorski, Viet Lai, Varshini Reddy, Charles Lovering, Chris Tanner.
ACL 2024 DocFinQA: A Long-Context Financial Reasoning Dataset
Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Michael Krumdick, Charles Lovering, Chris Tanner.
EMNLP 2024 An Analysis of Multilingual FActScore
Kim Trong Vu, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai.

ICDAR 2023 A Graphical Approach to Document Layout Analysis
Jilin Wang, Michael Krumdick, Baojia Tong, Hamima Halim, Maxim Sokolov, Vadym Barda, Delphine Vendryes, Chris Tanner.
IEEE AIPR 2022 Watermarking for Data Provenance in Object Detection
A. Snarski, W. L. Dimon, Keith Manville, Michael Krumdick.
ECCV 2020 APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
Anneliese Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer.
Book Chapter 2018 Counteracting Presentation Attacks in Face, Fingerprint, and Iris Recognition
Allan Pinto, Helio Pedrini, Michael Krumdick, Benedict Becker, Adam Czajka, Kevin W. Bowyer, Anderson Rocha. In Deep Learning in Biometrics.
IEEE TIFS 2017 Recognition of Image-Orientation-Based Iris Spoofing
Adam Czajka, Kevin W. Bowyer, Michael Krumdick, Rosaura G. VidalMata.

arXiv Cost-Efficient Estimation of General Abilities Across Benchmarks
Michael Krumdick, Adam Wiemerslage, Seth Ebner, Charles Lovering, Chris Tanner.
arXiv No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Michael Krumdick, Charles Lovering, Varshini Reddy, Seth Ebner, Chris Tanner.
arXiv Tokenization with Split Trees
Craig W. Schmidt, Michael Krumdick, Adam Wiemerslage, Seth Ebner, Varshini Reddy, Yuval Pinter, Chris Tanner.
arXiv FrontierFinance: A Long-Horizon Computer-Use Benchmark of Real-World Financial Tasks
Michael Krumdick, Varshini Reddy, Shivani Chaudhary, William Day, Maarij Ahmed, Hayan Haqqi, Muhammad Ahsen Fahim, Hanzallah Amjad, Ahmad Orakzai, Aqsa Gul, Chris Tanner.

Training a Large Language Model From Scratch
- Harvard SEAS — Industry Speaker, “Applying LLMs in Practice” Feb 2025
- MIT — Guest Lecturer, Quantitative Methods in NLP (6.861) Nov 2024