David Heineman

According to our database, David Heineman authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation.

David Heineman, Valentin Hofmann, Ian Magnusson, Yuling Gu, Noah A. Smith, Hannaneh Hajishirzi, Kyle Lo, Jesse Dodge

CoRR, August, 2025

Evaluating LLMs on Chinese Idiom Translation.

Cai Yang, Yao Dou, David Heineman, Xiaofeng Wu, Wei Xu

CoRR, August, 2025

DataDecide: How to Predict Best Pretraining Data with Small Experiments.

Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge

CoRR, April, 2025

2024

Establishing Task Scaling Laws via Compute-Efficient Model Ladders.

Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi

CoRR, 2024

Towards a Path Dependent Account of Category Fluency.

David Heineman, Reba Koenen, Sashank Varma

CoRR, 2024

Improving Minimum Bayes Risk Decoding with Multi-Prompt.

David Heineman, Yao Dou, Wei Xu

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

2023

Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation.

David Heineman, Yao Dou, Wei Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA.

David Heineman, Yao Dou, Mounica Maddela, Wei Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LENS: A Learnable Evaluation Metric for Text Simplification.

Mounica Maddela, Yao Dou, David Heineman, Wei Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023