Chacha Chen - RankMe

39 papers A* 6A 2Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation. EMNLP (Findings) Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025	J	`jnl`	CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation. CoRR Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025	J	`jnl`	Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis. CoRR Chacha Chen, Han Liu, Jiamin Yang, Benjamin M. Mervak, Bora Kalaycioglu, Grace Lee, Emre Cakmakli, Matteo Bonatti, Sridhar Pudu, Osman Kahraman, Gul Gizem Pamuk, Aytekin Oto, Aritrick Chatterjee, Chenhao Tan
2025	—	`conf`	GPT-4V Cannot Generate Radiology Reports Yet. NAACL (Findings) Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
2025	J	`jnl`	MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels. CoRR Xiaoou Liu, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi, Hua Wei
2025	—	`conf`	Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. KDD (2) Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2025	J	`jnl`	Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. CoRR Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2024	J	`jnl`	GPT-4V Cannot Generate Radiology Reports Yet. CoRR Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
2024	J	`jnl`	OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. CoRR Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
2024	J	`jnl`	The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
2023	A	`conf`	Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. EACL Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
2023	J	`jnl`	Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. CoRR Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
2023	A*	`conf`	Learning Human-Compatible Representations for Case-Based Decision Support. ICLR Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023	J	`jnl`	Learning Human-Compatible Representations for Case-Based Decision Support. CoRR Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023	—	`conf`	Machine Explanations and Human Understanding. FAccT Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023	J	`jnl`	Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023	—	`conf`	Pragmatic Radiology Report Generation. ML4H@NeurIPS Dang Nguyen, Chacha Chen, He He, Chenhao Tan
2023	J	`jnl`	Pragmatic Radiology Report Generation. CoRR Dang Nguyen, Chacha Chen, He He, Chenhao Tan
2023	J	`jnl`	Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
2023	J	`jnl`	Selective Explanations: Leveraging Human Input to Align Explainable AI. Proc. ACM Hum. Comput. Interact. Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
2023	—	`conf`	Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. FAccT Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan
2022	—	`conf`	Learning to Rank Visual Stories From Human Ranking Data. ACL (1) Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku
2022	J	`jnl`	Machine Explanations and Human Understanding. CoRR Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2022	J	`jnl`	Using a neural network - Physics-based hybrid model to predict soil reaction fronts. Comput. Geosci. Tao Wen, Chacha Chen, Guanjie Zheng, Joel Bandstra, Susan L. Brantley
2021	—	`conf`	Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. AsianCHI@CHI Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
2021	A*	`conf`	Knowledge-based Residual Learning. IJCAI Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
2021	J	`jnl`	Learning to Simulate on Sparse Trajectory Data. CoRR Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2021	A*	`conf`	Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
2021	J	`jnl`	Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. CoRR Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
2021	A*	`conf`	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
2021	—	`conf`	What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications. AsianCHI@CHI Tongan Cai, Chacha Chen, Ting-Hao Huang, Frank E. Ritter
2020	—	`conf`	Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2020	—	`conf`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020	J	`jnl`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020	A*	`conf`	Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
2020	J	`jnl`	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
2019	A	`conf`	CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019	J	`jnl`	CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019	A*	`conf`	PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li