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Bingsheng Yao
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2020 – today
- 2024
- [j3]Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James A. Hendler, Marzyeh Ghassemi, Anind K. Dey, Dakuo Wang:
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 31:1-31:32 (2024) - [j2]Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen S. Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang:
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 73:1-73:35 (2024) - [c15]Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, Mirjana Prpa:
Building LLM-based AI Agents in Social Virtual Reality. CHI Extended Abstracts 2024: 65:1-65:7 - [c14]Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CHI 2024: 156:1-156:26 - [c13]Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang:
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI 2024: 445:1-445:18 - [c12]Tianshi Li, Sauvik Das, Hao-Ping (Hank) Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CHI Extended Abstracts 2024: 581:1-581:4 - [c11]Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD 2024: 6158-6168 - [c10]Bingsheng Yao, Guiming Chen, Ruishi Zou, Yuxuan Lu, Jiachen Li, Shao Zhang, Yisi Sang, Sijia Liu, James A. Hendler, Dakuo Wang:
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling. NAACL-HLT (Findings) 2024: 1772-1790 - [i29]Yuling Sun, Xiuqi Zhu, Xiaomu Zhou, Bingsheng Yao, Kai Zhang, Dakuo Wang, Jiaju Chen, Liang He:
Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China. CoRR abs/2401.13799 (2024) - [i28]Yuling Sun, Jiali Liu, Bingsheng Yao, Jiaju Chen, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He:
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities. CoRR abs/2401.13804 (2024) - [i27]Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CoRR abs/2402.01994 (2024) - [i26]Ziqi Yang, Xuhai Xu, Bingsheng Yao, Jiachen Li, Jennifer Bagdasarian, Guodong Gordon Gao, Dakuo Wang:
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication. CoRR abs/2404.13409 (2024) - [i25]Siyi Wu, Feixue Han, Bingsheng Yao, Tianyi Xie, Xuan Zhao, Dakuo Wang:
Sunnie: An Anthropomorphic LLM-Based Conversational Agent for Mental Well-Being Activity Recommendation. CoRR abs/2405.13803 (2024) - [i24]Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR abs/2407.16999 (2024) - [i23]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2408.03586 (2024) - [i22]Szeyi Chan, Shihan Fu, Jiachen Li, Bingsheng Yao, Smit Desai, Mirjana Prpa, Dakuo Wang:
Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors. CoRR abs/2408.16465 (2024) - 2023
- [c9]Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang:
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. ACL (1) 2023: 14698-14713 - [c8]Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou:
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. EMNLP 2023: 1186-1202 - [c7]Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang:
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. EMNLP (Findings) 2023: 11629-11643 - [i21]Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang:
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. CoRR abs/2305.03117 (2023) - [i20]Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang:
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. CoRR abs/2305.12710 (2023) - [i19]Ziqi Yang, Xuhai Xu, Bingsheng Yao, Shao Zhang, Ethan Rogers, Stephen S. Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang:
Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model. CoRR abs/2309.09357 (2023) - [i18]Zhiping Zhang, Michelle Jia, Hao-Ping Hank Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CoRR abs/2309.11653 (2023) - [i17]Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang:
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR abs/2309.12368 (2023) - [i16]Amama Mahmood, Junxiang Wang, Bingsheng Yao, Dakuo Wang, Chien-Ming Huang:
LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines. CoRR abs/2309.13879 (2023) - [i15]Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D. Mynatt, Dakuo Wang:
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner. CoRR abs/2310.05853 (2023) - [i14]Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou:
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism. CoRR abs/2310.15077 (2023) - [i13]Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun:
FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives. CoRR abs/2311.09756 (2023) - [i12]Bingsheng Yao, Guiming Chen, Ruishi Zou, Yuxuan Lu, Jiachen Li, Shao Zhang, Sijia Liu, James A. Hendler, Dakuo Wang:
More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering. CoRR abs/2311.09782 (2023) - [i11]Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang:
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks. CoRR abs/2311.09825 (2023) - [i10]Matthew Pisano, Peter Ly, Abraham Sanders, Bingsheng Yao, Dakuo Wang, Tomek Strzalkowski, Mei Si:
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework. CoRR abs/2312.00029 (2023) - 2022
- [c6]Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer:
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) 2022: 447-460 - [c5]Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. ACL (1) 2022: 731-744 - [c4]Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI 2022: 218:1-218:21 - [c3]Bingsheng Yao, Ethan Joseph, Julian Lioanag, Mei Si:
A Corpus for Commonsense Inference in Story Cloze Test. LREC 2022: 3500-3508 - [i9]Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR abs/2202.06205 (2022) - [i8]Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang:
Efficient Long Sequence Encoding via Synchronization. CoRR abs/2203.07644 (2022) - [i7]Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer:
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR abs/2203.13947 (2022) - [i6]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i5]Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Aminat Adebiyi, Yufang Hou, Nanyun Peng, Dakuo Wang:
NECE: Narrative Event Chain Extraction Toolkit. CoRR abs/2208.08063 (2022) - 2021
- [j1]Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. Trans. Assoc. Comput. Linguistics 9: 1032-1046 (2021) - [i4]Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. CoRR abs/2106.03826 (2021) - [i3]Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. CoRR abs/2109.03423 (2021) - 2020
- [c2]Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Frustratingly Hard Evidence Retrieval for QA Over Books. NUSE@ACL 2020: 108-113 - [c1]Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. IUI 2020: 297-307 - [i2]Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. CoRR abs/2001.06509 (2020) - [i1]Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR abs/2007.09878 (2020)
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