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qianqi yan qianqi yan qianqi yan cse ph d student university of california santa barbara follow goleta california email facebook linkedin github google scholar i am qianqi jackie yan a ph d candidate university of california santa barbara working with prof xin eric wang as a member of the embodied and responsible interaction and communication eric lab previously i interned at oracle and ebay as an applied research scientist i obtained my bachelor s degree from the university of michigan ann arbor previously i worked with prof joyce chai and prof stella yu research interests i work on multimodal llms my research interests focus on reasoning trustworthy ai and ai for healthcare please don t hesitate to email me if you are interested in this area i will be happy to chat news 2026 02 i will join amazon as a research intern in 2026 summer 2025 09 i will be hosting 4th alvr workshop at acl 2026 2025 08 one paper accepted to emnlp 2025 i will be attending emnlp 2025 in suzhou china please feel free to reach out for a chat 2025 05 two papers accepted to acl 2025 2025 04 i will join oracle health ai as a research intern in 2025 summer 2024 04 i will join ebay as a research intern in 2024 summer publication preprints omnitrace a unified framework for generation time attribution in omni modal llms qianqi yan yichen guo ching chen kuo shan jiang hang yin yang zhao xin eric wang preprint phyworldbench a comprehensive evaluation of physical realism in text to video models jing gu xian liu yu zeng ashwin nagarajan fangrui zhu daniel hong yue fan qianqi yan kaiwen zhou ming yu liu xin eric wang iclr 2026 oral cite while you generate training free evidence attribution for multimodal clinical summarization qianqi yan huy v nguyen sumana srivatsa hari bandi xin eric wang krishnaram kenthapadi ml4h 2025 findings hidden in plain sight reasoning in underspecified and misspecified scenarios for multimodal llms qianqi yan hongquan li shan jiang yang zhao xinze guan ching chen kuo xin eric wang emnlp 2025 multimodal inconsistency reasoning mmir a new benchmark for multimodal reasoning models qianqi yan yue fan hongquan li shan jiang yang zhao xinze guan ching chen kuo xin eric wang acl 2025 worse than random an embarrassingly simple probing evaluation of large multimodal models in medical vqa qianqi yan xuehai he xiang yue xin eric wang acl 2025 muffin or chihuahua challenging large vision language models with multipanel vqa yue fan jing gu kaiwen zhou qianqi yan shan jiang ching chen kuo xinze guan xin eric wang acl 2024 med hvl automatic medical domain hallucination evaluation for large vision language models qianqi yan xuehai he xin eric wang aaai 2024 spring symposium on clinical foundation models service organizer workshop avlr acl 2026 clvl neurips 2025 program committee main conference neurips 2026 iclr 2025 2026 iclr 2024 iccv 2023 workshop alvr acl 2024 education ph d in computer science university of california santa barbara 2025 present ph d in computer science university of california santa cruz 2023 2025 b s e in computer science university of michigan ann arbor 2021 2023 b s e in electrical and computer engineering shanghai jiao tong university 2019 2023 visiting student technische universit at berlin 2020 teaching cs165a artificial intelligence university of california santa barbara cse101 introduction to data structures and algorithms university of california santa cruz eecs 448 human centered machine learning university of michigan ann arbor ve 215 intro to circuits shanghai jiao tong university vg 101 intro to computers and programming shanghai jiao tong university sitemap follow github feed 2026 qianqi yan powered by jekyll academicpages a fork of minimal mistakes
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