Stephen MacNeil
@Stephen_MacNeil
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Assistant Professor @TempleCIS | YDC @WorldDesignOrg | Organizer @Design4SD | #HCI & #edu & #NLP Tackling Philly's hardest problems via community-driven design
Philadelphia
Joined June 2010
It’s an incredible feeling to have one of my first advisees (and good friend) come to visit my lab. The students were inspired and I was so proud. Today was a great day 🤩.
An amazing day! Kicked it off at @PennHCI meeting in the morning, then headed over to @TempleHCI to give a talk in the afternoon. Big thanks to @drewmikehead and @Stephen_MacNeil for having me!!
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RT @jasonzding: An amazing day! Kicked it off at @PennHCI meeting in the morning, then headed over to @TempleHCI to give a talk in the afte….
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RT @TempleHCI: How are computing students shifting their help-seeking strategies in response to LLMs and Generative AI tools (ChatGPT and G….
researchgate.net
PDF | Help-seeking is a critical way for students to learn new concepts, acquire new skills, and get unstuck when problem-solving in their computing... | Find, read and cite all the research you need...
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RT @TempleHCI: SIGCSE discussions are heating up: LLMs threaten traditional assessment. To address this concern, some have adopted visual….
researchgate.net
PDF | The advent of large language models is reshaping computing education. Recent research has demonstrated that these models can produce better... | Find, read and cite all the research you need on...
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Stop chatting with a black box! . Swing by our #uist2023 demo about making LLM memory management more explainable and interactive!.
Stop chatting to a black box ! We developed Memory Sandbox: see, control, and steer how the conversational agent “sees” the conversation. Checkout our demo at #UIST23. Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents.
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RT @leinonen_juho: Interested in large language models and their potential applications in computing education? I’m looking for a (fully-fu….
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RT @gutbashh: 📢 My first co-authored demo paper explores providing users with capabilities to oversee and control how large language models….
arxiv.org
The recent advent of large language models (LLM) has resulted in high-performing conversational agents such as chatGPT. These agents must remember key information from an ongoing conversation to...
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Had the privilege of working with my wonderful colleague (and former student) Jason Ding on paper that was awarded an honorable mention at C&C. Check it out, it is worth a read!.
Wrapped up my paper presentation at @acm_cc just in time to catch my shuttle to work :) A truly enriching experience! If you are curious about the potential role of Large Language Models in creativity, do check out our video presentation -> 😁.
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Our grandmother is trying to leave Ukraine. Please share info and resources about traveling from Odesa to Chișinău in DMs 🙏.
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To be clear, I did try to mitigate this bias as much as possible in my review, and it was a great paper.
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I just included a positionality statement in my review!. I’ve never seen such a statement in a review, but I thought it was important to be transparent about a bias I have against a specific design method. Would this be a useful criteria to require for future reviews? 🤔.
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RT @random_walker: It feels like we're at a critical moment for AI and civil society. There's a real possibility that the last 5+ years of….
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RT @scyrusk: Paid study opportunity: We are looking to chat with folks who share personal photos on online social media platforms. The foc….
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RT @ProfPayton: We’re looking for summer undergrad research interns! Our REU Site on Pervasive Computing for Smart Health, Safety, & Well-b….
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I am thrilled that our proposal to investigate AI-enabled communication devices for non-verbal speakers was funded!. All 16 teams have such inspiring projects, it should make for an exciting NSF Convergence Accelerator cohort.
.@NSF is investing $12 million for 16 teams to develop use-inspired solutions to enhance the quality of life and employment opportunities for persons with disabilities. Details:
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What an honor to have our work featured by @DataSciNews! LLMs will likely have a big impact on education and our team is committed to ensuring that the impact is a positive one.
"Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book". Stephen MacNeil (@Stephen_MacNeil) and co-authors share their experiences generating multiple code explanation types using LLMs and integrating them. 9/18.
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RT @shagunjhaver: I am looking for PhD students for fall '23. If you are interested in the topic of content moderation or online harassment….
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RT @LangTechLara: Hiya! I'm a #CIFellow postdoc at UPenn, and I'm on the faculty job market this year! I do human-centered #AI with a focus….
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RT @vsetlur: We are hiring at Tableau Research! Looking for early/fresh grads to come join our team! Areas include applied ML/NLP/AI, and H….
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Along with a team of undergraduate researchers, we were able to generate 6 distinct explanation types: . 1) line-by-line, 2) high-level summaries, 3) common misconceptions, 4) generating analogies, 5) fixing and explaining bugs, and 6) listing the relevant programming concepts.
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