Yada Pruksachatkun

According to our database1, Yada Pruksachatkun authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
CoRR, 2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019


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