Charles Lovering

According to our database, Charles Lovering authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

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

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

Lessons from the Trenches on Reproducible Evaluation of Language Models.

Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou

CoRR, 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, 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

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.

Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick

CoRR, 2023

Training Priors Predict Text-To-Image Model Performance.

Charles Lovering, Ellie Pavlick

CoRR, 2023

2022

A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances.

Rodica Neamtu, Ramoza Ahsan, Cuong Nguyen, Charles Lovering, Elke A. Rundensteiner, Gábor N. Sárközy

IEEE Trans. Knowl. Data Eng., 2022

Unit Testing for Concepts in Neural Networks.

Charles Lovering, Ellie Pavlick

Trans. Assoc. Comput. Linguistics, 2022

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.

Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman

CoRR, 2022

Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.

Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Predicting Inductive Biases of Pre-Trained Models.

Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-play for Data Efficient Language Acquisition.

Charles Lovering, Ellie Pavlick

CoRR, 2020

When does data augmentation help generalization in NLP?

Rohan Jha, Charles Lovering, Ellie Pavlick

CoRR, 2020

2018

Fact or Fiction.

Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley, Emmanuel Agu

Proc. ACM Hum. Comput. Interact., 2018

Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances.

Rodica Neamtu, Ramoza Ahsan, Elke A. Rundensteiner, Gábor N. Sárközy, Eamonn J. Keogh, Hoang Anh Dau, Cuong Nguyen, Charles Lovering

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Interactive Time Series Analytics Powered by ONEX.

Rodica Neamtu, Ramoza Ahsan, Charles Lovering, Cuong Nguyen, Elke A. Rundensteiner, Gábor N. Sárközy

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Ranked time series matching by interleaving similarity distances.

Cuong Nguyen, Charles Lovering, Rodica Neamtu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017