Ranked time series matching by interleaving similarity distances. - Cuong Nguyen; Charles Lovering; Rodica Neamtu (IEEE BigData, 2017)

Interactive Time Series Analytics Powered by ONEX. - Rodica Neamtu; Ramoza Ahsan; Charles Lovering; Cuong Nguyen; Elke A. Rundensteiner; Gábor N. Sárközy (SIGMOD Conference, 2017)

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 (ICDE, 2018)

Fact or Fiction. - Charles Lovering; Anqi Lu; Cuong Nguyen; Huyen Nguyen; David Hurley; Emmanuel Agu (Proc. ACM Hum. Comput. Interact., 2018)

When does data augmentation help generalization in NLP? - Rohan Jha; Charles Lovering; Ellie Pavlick (CoRR, 2020)

Self-play for Data Efficient Language Acquisition. - Charles Lovering; Ellie Pavlick (CoRR, 2020)

Predicting Inductive Biases of Pre-Trained Models. - Charles Lovering; Rohan Jha; Tal Linzen; Ellie Pavlick (ICLR, 2021)

Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. - Charles Lovering; Jessica Forde; George Konidaris 001; Ellie Pavlick; Michael L. Littman (NeurIPS, 2022)

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. - Charles Lovering; Jessica Zosa Forde; George Konidaris 001; Ellie Pavlick; Michael L. Littman (CoRR, 2022)

Unit Testing for Concepts in Neural Networks. - Charles Lovering; Ellie Pavlick (Trans. Assoc. Comput. Linguistics, 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)

Training Priors Predict Text-To-Image Model Performance. - Charles Lovering; Ellie Pavlick (CoRR, 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)

BizBench: A Quantitative Reasoning Benchmark for Business and Finance. - Michael Krumdick; Rik Koncel-Kedziorski; Viet Dac Lai; Varshini Reddy; Charles Lovering; Chris Tanner (ACL (1), 2024)

DocFinQA: A Long-Context Financial Reasoning Dataset. - Varshini Reddy; Rik Koncel-Kedziorski; Viet Dac Lai; Michael Krumdick; Charles Lovering; Chris Tanner (ACL (Short Papers), 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; et al. (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)

Are Language Model Logits Calibrated? - Charles Lovering; Michael Krumdick; Viet Dac Lai; Nilesh Kumar; Varshini Reddy; Rik Koncel-Kedziorski; Chris Tanner (CoRR, 2024)

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 (ACL (1), 2025)

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding. - Michael Krumdick; Charles Lovering; Varshini Reddy; Seth Ebner; Chris Tanner (CoRR, 2025)