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!!
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!!
How are computing students shifting their help-seeking strategies in response to LLMs and Generative AI tools (ChatGPT and Github CoPilot)?
Our upcoming #ACE2024 paper shares insights from surveys and interviews with computing students.
researchgate.net/publication…
SIGCSE discussions are heating up: LLMs threaten traditional assessment.
To address this concern, some have adopted visual programming problems.
In our new paper, GPT-4V solved 96.7% of visually represented problems. Is it time for #ungrading yet?
researchgate.net/publication…
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
youtu.be/e7BUSoNeuww?si=Ad_Q…
Interested in large language models and their potential applications in computing education? I’m looking for a (fully-funded) PhD student to study how novices use LLMs and how LLMs can be used to create educational resources @CSAalto. Find out more & apply aalto.fi/en/open-positions/p…
📢 My first co-authored demo paper explores providing users with capabilities to oversee and control how large language models, like #ChatGPT, perceive and retain conversational context. Less breakdown, more steering.
📄 Read the paper here: arxiv.org/abs/2308.01542
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 -> youtube.com/watch?v=C9hU-roB… 😁
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? 🤔
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 (hard fought albeit still inadequate) improvements in responsible AI release practices will be obliterated.
Paid study opportunity: We are looking to chat with folks who share personal photos on online social media platforms.
The focus of the interview will be on privacy-enhancing and anti-surveillance technologies for such photos.
More here: b.gatech.edu/3wfTlY7
RTs appreciated!
ALT A flyer advertising the study.
Earn up to $20 for a 1 hour interview. Sign up at the following link: https://b.gatech.edu/3wfTlY7
We’re looking for summer undergrad research interns! Our REU Site on Pervasive Computing for Smart Health, Safety, & Well-being offers a 9 wk research experience at Temple Univ in Philadelphia. Students receive $6500 housing. Apply by 1/31: cis.temple.edu/~reu/.
ALT Flyer for REU Site in Pervasive Computing for smart health, safety, and well-being at Temple University in Philadelphia. Lists program dates: May 31- Aug 2, 2023. Lists Research Areas: internet of things, mobile sensing, data science, and computer visions. Shows photo of REU student cohort and REU students working together and discussing an idea with a laptop between them. Lists the website: www.cis.temple.edu/REU. Application deadline: Jan. 31,2023
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: bit.ly/3UV1OcU
ALT Bold text that reads, “Enhancing Quality of Life and Employment Opportunities for Persons with Disabilities" appears against a white background that fades into a collage of people with varying degrees of disabilities. The blue and yellow NSF logo appears in the left corner of the graphic.
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
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 on language technologies/#NLProc. I've worked on automated story generation (think AI #DnD dungeon master), speech processing, and improving #AAC apps.
We are hiring at Tableau Research! Looking for early/fresh grads to come join our team! Areas include applied ML/NLP/AI, and HCI in the space of visual analytics and data visualization. salesforce.wd1.myworkdayjobs…#Tableau#research
Really enjoyed presenting our lab's first poster at #ICER2022! Wish I could be in Lugano, Switzerland, but the hybrid format was great for this stay-at-home dad. TY, organizers 🙏
Generating Diverse Code Explanations using the GPT-3 Large Language Model
doi.org/10.1145/3501709.3544…
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