Do you work with text data for your job or research? We’d love to talk to you!. We're running a paid user study at CMU to understand how people explore and visualize text data while programming—and to gather feedback on our new open-source visualization tool. Details below 👇.

➡️ Check out the paper here: 💻 Open source repo:

AGDebugger is built on top of the awesome #AutoGen agent framework and this research was done while I was at Microsoft Research this past summer alongside @bansalg_ , @vykthur, @adamfourney, @jack_gerrits, @ekzhu, and @SaleemaAmershi.

Results from our user study reveal how developers leverage AGDebugger to make sense of agent behavior and modify agent messages to steer them towards different outcomes.

Introducing AGDebugger—a new interactive tool that enables developers to send new instructions to agents, step through each agent response, and reset agents to earlier points in a workflow after a failure.

Excited to share our #CHI2025 paper: "Interactive Debugging and Steering of Multi-Agent AI Systems"!. As 🤖 AI agent teams 🤖 powered by LLMs take on complex tasks, debugging and steering these agents becomes crucial. How can developers better understand AI agent behavior?

Your feedback will help our research and shape our open-source visualization tool. Learn more & sign up here 👉

✅ Who? Programmers, researchers, or anyone working with text-based datasets . 📅 What? 2–3 sessions where you’ll share how you work with text data and try out our prototype tool (up to $60 compensation) . 📊 Data? Any text dataset—social media, news, research abstracts, etc.

On Wednesday I’ll present AutoProfiler, a Jupyter extension for continuous data profiling that automatically visualizes pandas dataframes with live updates and code exports to help you understand your data and find quality issues. Paper:

Today I’ll present our paper on Quick Dashboarding at the VDS symposium. We propose a simple abstraction of dashboards as sections of metrics combined with dimensions to support dashboard authoring. Come to the talk this afternoon! Paper:

I’m at @ieeevis in Melbourne this week and would love to chat about all things data profiling and data science tools. Looking forward to meeting everyone! I’ll be presenting at the VDS symposium and a paper later this week.

RT @cmudig: Frank, Will, Catalina, and Dominik will be representing the DIG lab at #ieeevis2023 @ieeevis in Melbourne. Learn more about ou….

RT @a_a_cabrera: I loved exploring this evaluation of LLM text translation using @try_zeno! Try filtering for high length ratio instances t….

RT @VISxAI: For the 6th time, we’re back! The Workshop on Visualization for AI Explainability (#visxai) will accept “explorables” & “explai….

We're still looking for a few more participants for this study! If you use pandas for data analysis sign up to try out our new tool and help us make data science tools better.

We’re looking for participants for our user study! If you use #python and #pandas to analyze data in jupyter then try out our tool to help you visualize your data and find errors during analysis. Study sessions last 1 hour, more info and sign up at link:.

RT @venkats_14: Proud to share our #CHI2023 paper on clinician acceptance of AI treatment recommendations! We explore how in complex decisi….

RT @a_a_cabrera: Excited to introduce 💠 𝗭𝗲𝗻𝗼, an ML evaluation framework for any data or model, from classification to image generation. O….

Thanks for this great writeup about our Solas project! Check out the medium article, couldn't have written it better myself.

AutoProfiler lets you explore the distribution of each column, number of nulls, and summary statistics all without having to write extra code. You can even export the profiling charts as altair code for further editing!. See more at our github repo: