Seth Ebner

According to our database, Seth Ebner authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Cost-Efficient Estimation of General Abilities Across Benchmarks.

Michael Krumdick, Adam Wiemerslage, Seth Ebner, Charles Lovering, 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

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

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

Core: Robust Factual Precision with Informative Sub-Claim Identification.

Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification.

Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme

CoRR, 2024

A Closer Look at Claim Decomposition.

Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme

Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

FieldSwap: Data Augmentation for Effective Form-Like Document Extraction.

Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2022

An Augmentation Strategy for Visually Rich Documents.

Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata

CoRR, 2022

2021

Gradual Fine-Tuning for Low-Resource Domain Adaptation.

Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray

CoRR, 2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.

Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Multi-Sentence Argument Linking.

Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reading the Manual: Event Extraction as Definition Comprehension.

Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme

Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019

Reading the Manual: Event Extraction as Definition Comprehension.

Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme

CoRR, 2019

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework.

Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme

Proceedings of the 2019 Text Analysis Conference, 2019

An Exact No Free Lunch Theorem for Community Detection.

Arya D. McCarthy, Tongfei Chen, Seth Ebner

Proceedings of the Complex Networks and Their Applications VIII, 2019

Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning.

Seth Ebner, Felicity Wang, Benjamin Van Durme

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline.

Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme

Proceedings of the 2018 Text Analysis Conference, 2018