Varshini Reddy

According to our database, Varshini Reddy authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

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

CoRR, April, 2026

The Effect of Scripts and Formats on LLM Numeracy.

Varshini Reddy, Craig W. Schmidt, Seth Ebner, Adam Wiemerslage, Yuval Pinter, Chris Tanner

CoRR, January, 2026

2025

On Finding Inconsistencies in Documents.

Charles Lovering, Seth Ebner, Brandon Smock, Michael Krumdick, Saad Rabbani, Ahmed Muhammad, Varshini Reddy, Chris Tanner

CoRR, December, 2025

Entropy-Driven Pre-Tokenization for Byte-Pair Encoding.

Yifan Hu, Frank Liang, Dachuan Zhao, Jonathan Geuter, Varshini Reddy, Craig W. Schmidt, Chris Tanner

CoRR, June, 2025

Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier.

Craig W. Schmidt, Varshini Reddy, Chris Tanner, Yuval Pinter

CoRR, April, 2025

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding.

Michael Krumdick, Charles Lovering, Varshini Reddy, Seth Ebner, Chris Tanner

CoRR, March, 2025

How Much is Enough? The Diminishing Returns of Tokenization Training Data.

Varshini Reddy, Craig W. Schmidt, Yuval Pinter, Chris Tanner

CoRR, February, 2025

Language Model Probabilities are Not Calibrated in Numeric Contexts.

Charles Lovering, Michael Krumdick, Viet Dac Lai, Varshini Reddy, Seth Ebner, Nilesh Kumar, Rik Koncel-Kedziorski, Chris Tanner

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Are Language Model Logits Calibrated?

Charles Lovering, Michael Krumdick, Viet Dac Lai, Nilesh Kumar, Varshini Reddy, Rik Koncel-Kedziorski, Chris Tanner

CoRR, 2024

SEC-QA: A Systematic Evaluation Corpus for Financial QA.

Viet Dac Lai, Michael Krumdick, Charles Lovering, Varshini Reddy, Craig W. Schmidt, Chris Tanner

CoRR, 2024

DocFinQA: A Long-Context Financial Reasoning Dataset.

Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Chris Tanner

CoRR, 2024

Tokenization Is More Than Compression.

Craig W. Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

An Analysis of Multilingual FActScore.

Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DocFinQA: A Long-Context Financial Reasoning Dataset.

Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Michael Krumdick, Charles Lovering, Chris Tanner

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

BizBench: A Quantitative Reasoning Benchmark for Business and Finance.

Michael Krumdick, Rik Koncel-Kedziorski, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Mask Conditional Synthetic Satellite Imagery.

Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson

CoRR, 2023

2022

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry.

Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan

CoRR, 2022

2021

Malware detection and classification using community detection and social network analysis.

Varshini Reddy, Naimisha Kolli, Balakrishnan Narayanaswamy

J. Comput. Virol. Hacking Tech., 2021