Chacha Chen

Orcid: 0009-0000-6101-2150

According to our database1, Chacha Chen authored at least 23 papers between 2019 and 2024.

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Bibliography

2024
GPT-4V Cannot Generate Radiology Reports Yet.
CoRR, 2024

The Use of Generative Search Engines for Knowledge Work and Complex Tasks.
CoRR, 2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.
CoRR, 2024

2023
Machine Explanations and Human Understanding.
Trans. Mach. Learn. Res., 2023

Selective Explanations: Leveraging Human Input to Align Explainable AI.
Proc. ACM Hum. Comput. Interact., 2023

Pragmatic Radiology Report Generation.
Proceedings of the Machine Learning for Health, 2023

Learning Human-Compatible Representations for Case-Based Decision Support.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Using a neural network - Physics-based hybrid model to predict soil reaction fronts.
Comput. Geosci., 2022

Learning to Rank Visual Stories From Human Ranking Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies.
CoRR, 2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-based Residual Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions.
Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications.
Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

2020
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text.
CoRR, 2020

Learning to Simulate on Sparse Trajectory Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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