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Hua Shen✨ Profile
Hua Shen✨

@huashen218

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Research in "Bidirectional Human-AI Alignment". Postdoc @UW , Prev. @UMich , Ph.D @PSU , Research Intern @GoogleAI , @AmazonScience . Knowledge Worth Spreading✨

Seattle, WA
Joined August 2018
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@huashen218
Hua Shen✨
4 months
📢Is current “human-AI alignment” research clarified and comprehensive? 🤔 We systematically reviewed 400+ papers across HCI, NLP, and ML to develop a framework for 👫<>🤖"Bidirectional Human-AI Alignment", encompassing the dual paths of “Aligning AI to Human” and “Aligning Human
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@huashen218
Hua Shen✨
1 year
Evaluating Human-LM interactive co-writing system is hard. We @tongshuangwu propose a Parachute🪂 framework to help researchers systematically conduct evaluation on writing assistants! #In2Writing #CHI Take away Parachute🪂 and land it in your cool work!🧵
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@huashen218
Hua Shen✨
11 months
📢Human annotation is vital for Human-AI #Alignment , but time-consuming & expensive🥹. In our #EMNLP2023 paper, done during my #GoogleAI research intern, we propose a data labeling schema w/ MTurk👩‍💻 to efficiently collect human annotations with high quality. We further use it to
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@huashen218
Hua Shen✨
1 year
I’ll give my final defense about “Useful #XAI for #humans ” on 7/18 2pm ET. Great thanks to my dear committee’s support @windx0303 @tongshuangwu @Shyamer @mbrosson @cleegiles ❤️. If you're also interested - Welcome to join and discuss🤗! #human + #XAI . Zoom:
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@huashen218
Hua Shen✨
1 year
📢How to make AI Explanations more useful for humans in practice? We propose ConvXAI🤖, an interactive #XAI system providing various and customizable XAIs via a conversational interface applying to human-AI scientific writing tasks📝 #CSCW2023 Demo🧵👇.
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@huashen218
Hua Shen✨
1 year
Really Thankful❤️& glad to share Im joining Univ. of Michigan today as a postdoc working w/ Dr. @david__jurgens 🥳! Will continue working on human-centered AI/NLP, esp. on #XAI & writing tasks w/ #LLM . Excited to meet and learn from amazing researcher @UMich &more in new journey🤗!
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@huashen218
Hua Shen✨
3 months
Hiii! I am going to take over the @michigan_AI account for the following 2 weeks🗓️! Thrilled to continue sharing the AI research happening & some fun personal experiences. Hope you will enjoy the time with me😊!
@michigan_AI
MichiganAI
3 months
Thrilled to announce our social media #takeover for the next 2 weeks! 😀🎆 Meet Research Fellow @huashen218 , passionate about human-centered XAI and working with Prof. @david__jurgens .
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@huashen218
Hua Shen✨
1 year
📢How can humans better distinguish LLM-written text from human-written ones?👭Collaboration is What We Need!👬Our human studies w/ expert & non-expert improve detection w/ collab by >6.3%. @adaku_uchendu @jooyounglee7460 will present at #HCOMP today🤗!🧵👇
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@huashen218
Hua Shen✨
1 year
Huge Thanks💗to dear friends🧑‍🤝‍🧑who support us w/ precious votes, advice, feedback, and @cfiesler , @TobyJLi for the amazing host. Without you ALL, we can't get #CSCW best demo award. Also Congrats on Katja Pott, Yves Simmen, Jason Ortiz for their cool awards too🎊! Thank you all🙏!
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@huashen218
Hua Shen✨
1 year
I'll present the Live Demo👩‍💻 of ConvXAI🤖 at #CSCW2023 today (Monday Oct/16) during 6:30- 8:30pm session. If you wanna play with ConvXAI or talk more about #human + #XAI using LLMs, I'd be very happy to chat more and love to see you there🤗! @windx0303 @tongshuangwu @appleternity
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@huashen218
Hua Shen✨
11 months
Had an amazing time at the #RisingStar ✨of Data Science workshop hosted by #UChicago and #UCSD , tgt with terrific profs & peers, many of them are on job market, hire them🤩!👉. My lightning talk poster and slide abt #Useful_XAI if needed👉:
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@huashen218
Hua Shen✨
1 year
I'll present the Live Demo👩‍💻 of ConvXAI🤖 at #CSCW2023 today (Monday Oct/16) during 6:30- 8:30pm session. If you wanna play with ConvXAI or talk more about #human + #XAI using LLMs, I'd be very happy to chat more and love to see you there🤗! @windx0303 @tongshuangwu @appleternity
@huashen218
Hua Shen✨
1 year
📢How to make AI Explanations more useful for humans in practice? We propose ConvXAI🤖, an interactive #XAI system providing various and customizable XAIs via a conversational interface applying to human-AI scientific writing tasks📝 #CSCW2023 Demo🧵👇.
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@huashen218
Hua Shen✨
3 years
Happy paper sharing🥳Can existing NLP XAI studies respond to practical user needs? We, with Kenneth @windx0303 , surveyed 200+ NLP XAI papers and matched them with practical user questions (). Join our talk Today (May/8) 3:10pm EDT at #HCXAI #CHI2021 !🤗
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@huashen218
Hua Shen✨
2 months
🚀Excited to share our curated Reading List on "Bidirectional Human-AI Alignment"! Check it out here: ! Wondering what "bidirectional alignment" means? We’ve got you covered with a clear definition and a collection of representative papers in this repo.
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@huashen218
Hua Shen✨
4 months
📢Is current “human-AI alignment” research clarified and comprehensive? 🤔 We systematically reviewed 400+ papers across HCI, NLP, and ML to develop a framework for 👫<>🤖"Bidirectional Human-AI Alignment", encompassing the dual paths of “Aligning AI to Human” and “Aligning Human
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@huashen218
Hua Shen✨
1 year
Some friends asked abt my "2-month F1 visa renewal"😵‍💫experience for their better plans. I’ve also heard many ppl can't go to #CHI , #ICLR , #ACL ... due to expired F1 🥹. So I’d love to share some key info abt renewing F1 visa here for more of you, your frds& students. Best luck💗🧵!:
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@huashen218
Hua Shen✨
7 months
Really enjoyed working on this cool project and co-leading our amazing 👩🏻📝🤖Interaction Team w/ @WThiemo ! I’ve learned much from our project leads @MinaLee__ , @katyilonka , @john_jyc , and eps. from our fantastic🌟Interaction teammates & advisors:
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@MinaLee__
Mina Lee
7 months
A Design Space for Intelligent and Interactive Writing Assistants #CHI2024 👩🏻✏️🤖 What writing assistants do you use? What else are out there and how do they differ? What do we need to consider when designing new writing assistants? 🔗 (1/6)
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@huashen218
Hua Shen✨
2 years
Thank you for having me in this amazing Notre Dame NL+ seminar🥰! @roryzzhang @TobyJLi @yuwen_lu_ I really enjoyed having brunch☕️🥨 together and share our latest studies on “Useful #XAI from the human-centered perspective”🫶! Looking forward to more offline discussion and fun!🥳
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@huashen218
Hua Shen✨
1 year
Awww, also thanks❤️ for organizing the post-workshop dinner, with amazing friends👭👬 && foods🍔🍻!!
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@windx0303
Kenneth Huang
1 year
I'm really happy to be part of this team and be part of this workshop. #In2Writing workshop at #CHI2023 is amazing. @katyilonka @WThiemo @dongyeopkang @_vipulraheja @MinaLee__ @minsuk_chang @john_jyc @windx0303
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@huashen218
Hua Shen✨
11 months
If you’re interested in playing with our LLM-based AI pair programmer🤖, please check👇, we’d love to hear from you! 🤗
@tongshuangwu
Sherry Tongshuang Wu
11 months
Debugging is becoming more critical everyday with “AI pair programmers” contributing bugs, but no one remembers it taught in class…We built an LLM-based tutor to help & want to see if you like it - If you know basic Python, pls sign up for our study! 🧵
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@huashen218
Hua Shen✨
11 months
@ZiyuYao is demonstrating our collaborative LLM-based agents at #EMNLP2023 East Foyer. Come say hiii 🤗! Paper:
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@ZiyuYao
Ziyu Yao
1 year
Excited to share 🚀𝐆𝐞𝐧𝐭𝐨𝐩𝐢𝐚🚀 We aim to streamline the dev of tool-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐋𝐌𝐬 and allow for community share and eval. It's OPEN-SOURCE! Wonderful collaboration w @DongkuanXu @billxbf @huashen218 @gneubig and students from several other orgs! Follow&Join us!
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@huashen218
Hua Shen✨
2 years
Are shortest rationales the best explanations for human understanding?🙅‍♀️ We checked the human interpretability assumption in self-explaining models in👇 #ACL2022 work. Truly grateful to @windx0303 , @tongshuangwu , @WenboGuo4 and more for your valuable feedback & advice. Thank you🤗!
@windx0303
Kenneth Huang
2 years
1⃣This result might be trivial, but quantifying the limitations of current practice is useful. This project is led by @SarahHShen1 , collab w/ amazing @tongshuangwu and @WenboGuo4 . Paper: GitHub: Video: 3/8
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@huashen218
Hua Shen✨
1 year
If you need detailed lists of "evaluation metrics" and "survey questions", we surveyed SOTA co-writing systems and summarized in this table🤗! We further describe "how to use Parachute🪂 in practice" with a case study. Lmk if you’re interested in chatting more abt our work🥰!
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@huashen218
Hua Shen✨
2 years
Thrilled to attend #NAACL2022 at SEA! Had an enjoyable time with amazing NLPers yesterday 🍭 and look forward to talking to more researchers & friends here! feel free to DM me 🤗
@windx0303
Kenneth Huang
2 years
Sadly I'm not at #NAACL2022 (have a family trip shortly after and don't want to risk getting COVID), BUT @PSUCrowdAILab talented PhD student @SarahHShen1 will be there in person. She works on XAI, chatbot, and fairness. Come say hi :)
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@huashen218
Hua Shen✨
2 years
Super Thanks for having the sweet comp exam with colorful donuts 🍭🍩 and mooncake🥮☕️! Truly appreciate the valuable discussion with my committee @windx0303 , @tongshuangwu , Dr. Mary Beth Rosson, Dr. Lee Giles, Dr. Shyam Sundar! Thanks for driving 2.5 hours to support Sherry🤗💗!
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@windx0303
Kenneth Huang
2 years
AND @SarahHShen1 passed her thesis proposal :D (Also thank @tongshuangwu drove from Pittsburgh to participate in person!
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@huashen218
Hua Shen✨
2 years
🍬New Paper🍬What’re the causes of unfairness in speaker verification models? How to mitigate this model unfairness?🧐 Happy to share our #ICASSP2022 work shows the unfairness derives from imbalanced group presence in training set, and proposes a method to improve fairness👇(1/5)
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@huashen218
Hua Shen✨
1 year
@windx0303 @PSUCrowdAILab @tongshuangwu @Shyamer @mbrosson @cleegiles Many thanks Kenneth for being my amazing advisor and training me to improve a lot during the past years! Hope you’re enjoying the wonderful vacation and all the best!!🤗🫶
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@huashen218
Hua Shen✨
2 years
The ChatGPT and Whisper (for ASR) APIs are out🥳! To use #ChatGPT APIs, here’s the info I found helpful to share - a quick takeaway: 1. Powered by "gpt-3.5-turbo". Not fine-tunable yet.🧵👇 Links: - - -
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@huashen218
Hua Shen✨
11 months
8/💗【More Thanks!】 Great Thanks to @_beenkim , I’ve learned a lot from you and feel grateful for adding me to our lunch group – I'm lucky to spend the beautiful days w/ our amazing friends @miouantoinette , @dheerajgopal , @emilyrreif , @gyauney , miss the happy time with ya’ll🫶🥳!
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@huashen218
Hua Shen✨
4 months
2/ 💎【Bidirectional Human-AI Alignment Framework】 We introduce our “Bidirectional Human-AI Alignment” framework developed from the systematic review. 🔸A🔸 “Align AI to Human” focuses on mechanisms ensuring AI systems’ objectives match those of humans’. 🔸B🔸 “Align Humans to
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@huashen218
Hua Shen✨
3 years
🎉🎉Really love the discussion with our teammates!! Probably we want to actually make the cool idea? 😂Amazing workshop, thank you for the great organizing!! #HCXAI
@tongshuangwu
Sherry Tongshuang Wu
3 years
Yayyyy!! Now ALL we need to do is just to actually write this paper...lol😅😅 Why cant imaginary papers just...write themselves?? Loved the discussions with my teammates, and a big shout out to the organizers! #HCXAI #CHI2021
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@huashen218
Hua Shen✨
4 years
Our work, with @windx0303 , on the “Usefulness Evaluation for AI Interpretation” will be presented at #HCOMP2020 on Oct 28 2020. Please check the timely PennState News here:
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@huashen218
Hua Shen✨
4 months
3/ 📚【Systematic Literature Review】 We conducted a systematic literature review following the PRISMA guideline. Our review covers papers published between Jan 2019 and Jan 2024 from 10 main conferences in HCI, NLP, and ML domains. From an initial pool of 34,190 papers, we
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@huashen218
Hua Shen✨
4 months
6/ 📘【Topology of “Align AI to Humans”】 Research in this direction focuses on integrating human specifications to train, steer, and customize AI systems. Key challenges we identified: 🔹RQ1 - Categorizing and specifying human values interactively for AI, and 🔹RQ2 - Integrating
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@huashen218
Hua Shen✨
4 months
4/ 🎯【The Goal of Alignment】 From a philosophical perspective, inspired by Gabriel [1], we visualized the relationships, definitions, and limitations of current alignment goals (e.g., instructions, preferences, values) as shown in the Figure. In this paper, we consider "human
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@huashen218
Hua Shen✨
1 year
💗【Thanks】 Great thanks💕to our coauthors @adaku_uchendu , @jooyounglee7460 ,Thai Le, @windx0303 ,Dongwon Lee, #HCOMP2023 organizers esp. those who helped w/ our paper @msbernst , @SayinBurcu , @saiphcita , and all participants who joined our MTurk and Upwork studies. Thank you🥰🙏!!
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@huashen218
Hua Shen✨
4 months
Thank you so much for your super insightful comments and the amazing feedback, Merrie❤️! I have learned so much from you, really grateful 🙏!
@merrierm
Meredith Ringel Morris
4 months
New pre-print led by @huashen218 reviewing literature on #Alignment and re-framing it as a bi-directional challenge necessitating advances in both #AI and #HCI .
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@huashen218
Hua Shen✨
4 months
7/ 📙【Topology of “Align Humans to AI”】 Studies in this direction aim to help humans better understand, critique, collaborate with, and co-adapt to AI advancements. Core research questions we identified: 🔸RQ3 - How do humans perceive, explain and critique AI? And 🔸RQ4 - How
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@huashen218
Hua Shen✨
1 year
Thanks for frds being interested and asking for talk's papers❤️.Here we go: RQ1: -use XAI to analyze errors: -use XAI to simulate predictions: RQ2: gaps of human & XAI: RQ3: ConvXAI:
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@huashen218
Hua Shen✨
4 years
Thank you for all the suggestion and encouragement on my first and nervous conference presentation. It’s a great experience at #HCOMP2020 !
@windx0303
Kenneth Huang
4 years
Ahhh this is the proud advisor moment. Good job @SarahHShen1 ! #HCOMP2020
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@huashen218
Hua Shen✨
2 years
🥳🎊
@windx0303
Kenneth Huang
2 years
Interrupt my Twitter posting to join our end-of-semester pre-CHI pizza lunch. Haven't done this for a while :)
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@huashen218
Hua Shen✨
4 months
10/ 🌟【Challenges and Solutions for Future Directions】 We propose future directions for achieving long-term, dynamic human-AI alignment. Key challenges, from short-term to long-term include the Specification Game, Dynamic Co-evolution of Alignment, and Safeguarding
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@huashen218
Hua Shen✨
4 years
So interesting journey at #HCOMP2020 today! Thanks for the awesome keynote talk by Chris Welty from @Google , great discussion in Townhall Meeting, fun poster session, and grateful to my advisor, Kenneth @windx0303 , for all guidance on my first conference talk today. Big Thanks!
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@huashen218
Hua Shen✨
4 months
5/ 🔥【Taxonomy of Human Values】 To systematically understand human values in “Bidirectional Human-AI Alignment,” we used a combination of top-down and bottom-up methods based on Schwartz’s Theory of Basic Values drawing from cross-cultural psychology [3, 4]. We identified the
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@huashen218
Hua Shen✨
3 years
🔥🔥🔥 Amazing #HCXAI workshop @ #CHI2021 , looking forward to joining this Sat & Sun!
@QVeraLiao
Vera Liao
3 years
Exciting panel at #HCXAI workshop of #chi2021 this Sunday!
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@huashen218
Hua Shen✨
4 months
11/ 💗 【Acknowledgment】 Last but not least, we’re super grateful to the professors and researchers who gave us insightful feedback and inspiring encouragement! @eegilbert , @eytanadar , @xeeliz , @msbernst , @denny_zhou , @clifflampe , @nicole_ellison . Thank you so much again🙏!
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@huashen218
Hua Shen✨
2 years
Will take goood care of our new lab mate Scotty 🥰💕 thank you~
@windx0303
Kenneth Huang
2 years
This week @PSUCrowdAILab had a new member:
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@huashen218
Hua Shen✨
1 year
Here's the talk's abstract if you wanna take a glance😉
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@huashen218
Hua Shen✨
1 year
🥰Last but not least! Being grateful for our advisors and colleagues, etc, who support us and adjust their schedules to our trip. Many Thanks to @windx0303 , @tongshuangwu , @gneubig , @dylanslack20 , @appleternity , my Google mentors, TA teacher/students...for your warm support🤗💗!!
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@huashen218
Hua Shen✨
2 years
Thank you for helping us recording the moment!🤗
@mk344567
Mohan Krishna Sunkara
2 years
@huashen218 from @penn_state is now presenting "ScatterShot, Interactive In-context Example Curation for Text Transformation" Paper: #IUI2023 @ACMIUI
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@huashen218
Hua Shen✨
4 years
Thank you for the amazing and enjoyable #HCOMP2020 ! Looking forward to #HCOMP2021 !
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@huashen218
Hua Shen✨
4 months
8/ 📊【Paper Distribution along Framework Dimensions】 We conducted a rigorous annotation on each paper and computed the number of papers for each dimension of our framework. This distribution provides a clearer view of how extensively each research direction has been explored.
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@huashen218
Hua Shen✨
4 years
Error Analysis toolkit is amazing for interpreting and debugging ML models!💯 It analyzes model errors from aggregate metrics to fine-grained failure reasons. Our HCOMP'20 paper also found 5 different model failure reasons. It's a great tool to interactively inspect them👏
@jennwvaughan
Jenn Wortman Vaughan
4 years
So exciting to see the Error Analysis toolkit go live! Congrats on the amazing work on responsible AI, @besanushi , @ecekamar , @MehrnooshSam , @erichorvitz , and all! 🎉🎊
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@huashen218
Hua Shen✨
3 years
Super grateful to Kenneth @windx0303 for advising me on improving and practicing the talk patiently. Thank you!
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@huashen218
Hua Shen✨
6 months
@windx0303 @ISTtapia @PSUCrowdAILab @ISTatPENNSTATE Huge Congratulations, Kenneth🥳!!! Proud to be your first PhD student!! 🫶
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@huashen218
Hua Shen✨
4 years
Great talks and social & awards session today at #HCOMP2020 ! See you tomorrow with our interesting work presentation 🤗
@hcomp_conf
HCOMP 2024
4 years
More sketches! A live drawing for @annaridler 's keynote!
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@huashen218
Hua Shen✨
4 months
Thanks a lot, Martin, for you great contributions on the human values part and more! 🫶
@ziqiao_ma
Martin Ziqiao Ma
4 months
Excited to be involved in this collaborative initiative!😬 Alignment research shouldn't be a static, one-way process but rather a continuous, reciprocal engagement between humans and AI. AI and HCI researchers need to communicate to facilitate this. Check out this thread...👇
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@huashen218
Hua Shen✨
2 years
Please consider joining us as a #ACL2023 reviewer of “Interpretability track”. I learned some cool ideas and insights by reviewing the three papers. It’s a fun process and conducive to ur research too😊.
@anmarasovic
Ana Marasović
2 years
#ACL2023 #ACL2023NLP track "Interpretability and Analysis of Models for NLP" is missing 20% of assigned reviews 🥲 Please please please, if you can review even 1 paper until March 16, fill out this form: 🙏
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@huashen218
Hua Shen✨
2 months
@snigdhac25 Hi Snigdha! We also made a reading list including many awesome papers from others: . Hope it can be helpful for your seminar course too -- would love to learn the course if you'll release its website or materials 😊
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@huashen218
Hua Shen✨
2 years
@UpolEhsan @MSFTResearch @haldaume3 @QVeraLiao @PhDVoice Yayyy Congrats, Upol🥳! Looking forward to your upcoming great work on #HCXAI with the amazing FATE group!
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@huashen218
Hua Shen✨
1 year
👩‍🎓【Findings of Human-AI Scientific Writing Studies】 With two human studies, ConvXAI outperformed a GUI-based baseline in improving human-perceived understanding and writing improvement. We further observed the practical human usage patterns in interacting with ConvXAI✨.
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@huashen218
Hua Shen✨
11 months
@windx0303 Thanks a lot Kenneth for coming and supporting! 🙌
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@huashen218
Hua Shen✨
3 years
@snchancellor Or if "stakeholders" too generic, an alternative way maybe categorize them into granular parties? might be helpful for this idea : ) ~
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@huashen218
Hua Shen✨
11 months
2/👩‍💻【Human Annotation Schema】 We proposed a four-step data labeling schema to efficiently collect a high-quality dataset on MTurk -- see figure below👇. We eps. create "step4 - batch-wise labeling with quality checkpoint filter" to ensure high data quality.
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@huashen218
Hua Shen✨
1 year
📂What docs should we prepare? Other than basic docs (e.g., appointment confirmation, I-20, DS160, etc.), I was also asked for my CV, my advisor’s CV, and a research plan. But no worries, we can email the missing docs to embassy later. Sending ASAP cld expedite the process. 😃
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@huashen218
Hua Shen✨
4 years
Our study shows that displaying the visual interpretations did not increase, but rather decrease, the human average guessing accuracy by roughly 10%.
@arxiv_org
arxiv
4 years
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation...
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@huashen218
Hua Shen✨
4 years
Thank you! We’re welcoming any question and discussion on our work🤗 #HCOMP2020
@windx0303
Kenneth Huang
4 years
PennState News wrote a nice post about our #HCOMP2020 paper. Hua @SarahHShen1 from @PSUCrowdAILab will present this work on Wed (Oct 28) in the FIRST session (in ~10hrs, 10am ET/ 7am PT/ 3pm Berlin time). Come say hi! Paper: News:
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@huashen218
Hua Shen✨
3 years
@windx0303 @appleternity @PSUCrowdAILab Nice talk, Big Congrats, Chieh-Yang! @appleternity 🥳
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@huashen218
Hua Shen✨
4 years
Aha, let me add more photos of Cookie!🍪🐱🌟
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@windx0303
Kenneth Huang
4 years
Today's meeting is amazing.
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@huashen218
Hua Shen✨
1 year
@snehalbp @david__jurgens @UMich @nikola_banovic @CompHCILab Thanks Snehal!💕 Sounds really common interests for us and would love to chat more later😊.
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@huashen218
Hua Shen✨
3 years
Nice work!
@tongshuangwu
Sherry Tongshuang Wu
3 years
New preprint alert! *Tailor: Generating and Perturbing Text with Semantic Controls* Title says it all: we perturb sentences in semantically controlled ways like how a tailor changes clothes 🪡. w/ @alexisjross , @haopeng01 , @mattthemathman , @nlpmattg 1/n
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@huashen218
Hua Shen✨
3 years
We look forward to your feedback and discussion! Feel free to reach out and visit details: Paper: Data Website: Talk Schedule:
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@huashen218
Hua Shen✨
2 months
💗 Huge Thanks to @merrierm , @david__jurgens , and @presnick for your invaluable feedback! A Special Thanks to @radamihalcea for your insightful advice in creating this reading list! And heartfelt thanks to @tknearem and @reshmigh for the ongoing discussions and revisions! 🙏
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@huashen218
Hua Shen✨
4 years
@windx0303 @fabulousQian @PSUCrowdAILab The meeting ended, he begins sleeping 💤
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@huashen218
Hua Shen✨
4 months
9/ 👩‍💻【Interaction Techniques for Human-AI Alignment】 We identified key interaction techniques for “Bidirectional Human-AI Alignment” and highlighted differences in adoption between HCI and NLP/ML fields (Figure 9). Our aim is to inspire future research to harness these
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@huashen218
Hua Shen✨
4 months
Thank you for leading our HCI group, Tiffany! Grateful for your support along the way 💕
@tknearem
Tiffany Knearem, PhD
4 months
As an HCI researcher, it was my pleasure to contribute to the theoretical understanding of human-AI alignment 👫<>🤖 If you'v ever wondered “Is current ‘human-AI alignment’ research clearly defined and comprehensive?”, our paper can help
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@huashen218
Hua Shen✨
11 months
7/ 💎【Takeaway】 Feel free to check out our paper and dataset for more details – Happy to chat more at #EMNLP too! 📙paper: 🛠️dataset: . This is joint work w/ my amazing intern mentors and collaborators💗 – Vicky, Johann, Dan, and
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@huashen218
Hua Shen✨
1 year
🎯【Four Human-centered Useful XAI Rationales】 Drawing from linguistics and formative studies with 7 users, we identify 4 key design rationales for practically useful XAI: Multifaceted, Controllability, Mix-initiative, Context-aware Drill-down, which are embedded in ConvXAI🤖.
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@huashen218
Hua Shen✨
1 year
@MinaLee__ @UChicagoCS @DSI_UChicago @universeinanegg @ChenhaoTan BIG Congrats, Mina🥳🎉!! Sooo happy and proud of ya, meet ya in zoom soon!🥰
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@huashen218
Hua Shen✨
4 years
Great sharing of how to use the sliced time between meetings 💯
@deviparikh
Devi Parikh
4 years
Introducing a Re-sliced version of Humans of AI: Stories, No Stats! We are releasing videos that contain answers from all guests to the same question. All thanks to the efforts of @VarshiniSubhash and @mkulkhanna ! Answers to question 1 👉
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@huashen218
Hua Shen✨
1 year
@lxieyang @TobyJLi @david__jurgens @UMich Wooooow, ofc! Thank you for sharing, Michael!!🍭🍜 I learned from David that Ann Arbor renovated several streets in past years🤩, welcome back visit again too 🙌🥳!
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@huashen218
Hua Shen✨
5 months
@HariSubramonyam @GuhaShion Woow the same one we mentioned during the lunch, pretty good☕️!
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@huashen218
Hua Shen✨
1 year
🎯【Takeaway】 6/ Human Collaboration Can Help Identify LLM-written texts w/ both non-expert and expert groups! Feel free to check🥰 below and our dear coauthors' talk today at #HCOMP2023 ! 📙paper: 🛠️code:
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@huashen218
Hua Shen✨
3 years
Thank you for treating us the lunch😀😋~
@windx0303
Kenneth Huang
3 years
Today we finally had the first lab lunch in 2 years. This is so unreal. @PSUCrowdAILab
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@huashen218
Hua Shen✨
4 years
Looks interesting!💯
@UpolEhsan
Upol Ehsan
4 years
What do bicycles have to do with Human-Centered Explainable #AI ? How do we approach #XAI sociotechnically? Join my talk to find out! RSVP required 🗓️Apr 4,2021 ⏰4pm GST/ 8am EDT 🔗 Thanks to Prof @likeateenspirit & @NYUAbuDhabi for the kind invitation!
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@huashen218
Hua Shen✨
3 years
Reeeally Happy to have this virtual hotpot gathering! An amazing day!🤩🥳
@windx0303
Kenneth Huang
3 years
Paul is our REU student this summer. Unfortunately, it's a fully remote REU due to COVID. Meanwhile, some @PSUCrowdAILab 's students happen to do their *in-person* summer internships near Paul. So, we decided to have a virtual hotpot gathering today :)
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@huashen218
Hua Shen✨
4 months
Thanks for your lead in our NLP team, Reshmi! 💕
@reshmigh
Reshmi Ghosh
4 months
📣 Second new paper alert of the week : we take on the challenge to systematically find how can we think about #alignment between humans and #AI by surveying a vast number of research papers and gathering insights from ML/NLP and #HCI community. Congratulations and shout out to
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@huashen218
Hua Shen✨
1 year
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@huashen218
Hua Shen✨
11 months
4/💻【User Annotation Interface】 We created User Interfaces that enable humans to interactively see detailed instructions and annotate each label with the corresponding category.
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@huashen218
Hua Shen✨
1 year
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@huashen218
Hua Shen✨
4 years
@jennwvaughan Not sure if this NeurIPS'20 human-centered explainable AI work's broader impact will interest you: . Hope it'll be helpful!
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@huashen218
Hua Shen✨
11 months
3/ 📝【Defining Multi-Turn Cleanup Task】 We applied the data labeling schema to the “MultiTurn Spoken🗣️Conversational Transcript Cleanup” novel task. We gave the formal definitions and summarized the linguistic categories of discontinuities to be cleaned in the Multi-turn spoken
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@huashen218
Hua Shen✨
4 years
It’s sooo cute😻🥰 !
@acm_chi
ACM CHI Conference
4 years
Many may have already seen it, Hello CHIttY is now available. There is only a limited number left. There is also limited number of facemasks remaining for new registrants. More information here:
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@huashen218
Hua Shen✨
4 months
@DBuschek Thank you, Daniel! I learned much from our team work in the “design space of in2writing” paper and applied the skills here, happy and grateful to work with you and our teammates too!
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@huashen218
Hua Shen✨
3 years
Sounds very interesting, looking forward to this webinar!
@jennwvaughan
Jenn Wortman Vaughan
3 years
Interested in best practices for creating human-centered AI? My amazing colleagues @SaleemaAmershi and @mihaela_v have got you covered. Join their talk, July 21, open to all!
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@huashen218
Hua Shen✨
11 months
6/⚖️【Modeling and Eval Benchmark】 To solve the novel task, we also designed two model pipelines to clean the discontinuities in the multi-turn spoken conversational transcripts, and evaluate the models to set up the benchmark for future work.
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@huashen218
Hua Shen✨
2 years
@deviparikh @MetaAI @soficrespo91 Wow, this looks sooo amazing! Congrats!🎉
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@huashen218
Hua Shen✨
4 years
A great twitter to learn #NLProc robustness papers!
@boknilev
Yonatan Belinkov
4 years
#NLProc twitter: I'm teaching a seminar on interpretability and robustness in NLP next semester, and looking for key references about robustness. What are important papers about robustness that you think every #NLProc student should know? Please retweet!
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@huashen218
Hua Shen✨
6 months
@VioletNPeng Big Congratulations🎉!!
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@huashen218
Hua Shen✨
1 year
⏰How long will it take to process the visa? - if checked, it takes 4-6 weeks to process the visa. Then 1-2 weeks to deliver the passport back to embassy and get the visa (may avoid this by leaving passport in embsy). - if not checked, congrats! 1-2 weeks wld be good to finish🤞.
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@huashen218
Hua Shen✨
1 year
🔥【Human Detection Results】 3/ In both non-expert MTurk and expert Upwork groups, we found human collaboration can outperform individual settings by 6.36% and 12.76%🚀, respectively! We also asked ChatGPT to distinguish, but only got 38%.😂
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