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2020 – today
- 2024
[c7]Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Michael Krumdick, Charles Lovering, Chris Tanner:
DocFinQA: A Long-Context Financial Reasoning Dataset. ACL (Short Papers) 2024: 445-458- [c6]Michael Krumdick, Rik Koncel-Kedziorski, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner:
BizBench: A Quantitative Reasoning Benchmark for Business and Finance. ACL (1) 2024: 8309-8332 - [i10]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:
Lessons from the Trenches on Reproducible Evaluation of Language Models. CoRR abs/2405.14782 (2024) - [i9]Viet Dac Lai, Michael Krumdick, Charles Lovering, Varshini Reddy, Craig W. Schmidt, Chris Tanner:
SEC-QA: A Systematic Evaluation Corpus for Financial QA. CoRR abs/2406.14394 (2024) - [i8]Charles Lovering, Michael Krumdick, Viet Dac Lai, Nilesh Kumar, Varshini Reddy, Rik Koncel-Kedziorski, Chris Tanner:
Are Language Model Logits Calibrated? CoRR abs/2410.16007 (2024) - 2023
- [i7]Charles Lovering, Ellie Pavlick:
Training Priors Predict Text-To-Image Model Performance. CoRR abs/2306.01755 (2023) - [i6]Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick:
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR abs/2310.09612 (2023) - [i5]Rik Koncel-Kedziorski, Michael Krumdick, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner:
BizBench: A Quantitative Reasoning Benchmark for Business and Finance. CoRR abs/2311.06602 (2023) - 2022
- [j3]Charles Lovering, Ellie Pavlick:
Unit Testing for Concepts in Neural Networks. Trans. Assoc. Comput. Linguistics 10: 1193-1208 (2022) - [j2]Rodica Neamtu
, Ramoza Ahsan, Cuong Nguyen, Charles Lovering, Elke A. Rundensteiner, Gábor N. Sárközy:
A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances. IEEE Trans. Knowl. Data Eng. 34(4): 1516-1529 (2022) - [c5]Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS 2022 - [i4]Charles Lovering, Ellie Pavlick:
Unit Testing for Concepts in Neural Networks. CoRR abs/2208.10244 (2022) - [i3]Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR abs/2211.14673 (2022) - 2021
- [c4]Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick:
Predicting Inductive Biases of Pre-Trained Models. ICLR 2021 - 2020
- [i2]Rohan Jha, Charles Lovering, Ellie Pavlick:
When does data augmentation help generalization in NLP? CoRR abs/2004.15012 (2020) - [i1]Charles Lovering, Ellie Pavlick:
Self-play for Data Efficient Language Acquisition. CoRR abs/2010.04872 (2020)
2010 – 2019
- 2018
- [j1]Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley, Emmanuel Agu:
Fact or Fiction. Proc. ACM Hum. Comput. Interact. 2(CSCW): 111:1-111:15 (2018) - [c3]Rodica Neamtu, Ramoza Ahsan, Elke A. Rundensteiner, Gábor N. Sárközy, Eamonn J. Keogh, Hoang Anh Dau, Cuong Nguyen, Charles Lovering:
Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances. ICDE 2018: 521-532 - 2017
- [c2]Cuong Nguyen, Charles Lovering, Rodica Neamtu:
Ranked time series matching by interleaving similarity distances. IEEE BigData 2017: 3530-3539 - [c1]Rodica Neamtu, Ramoza Ahsan, Charles Lovering, Cuong Nguyen, Elke A. Rundensteiner, Gábor N. Sárközy:
Interactive Time Series Analytics Powered by ONEX. SIGMOD Conference 2017: 1595-1598
Coauthor Index
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