Ian Tenney: Introducing an early-release version of the Language Interpretability Tool (LIT), a visual, interactive, and extensible open-source tool for analyzing all sorts of NLP models 🔥
4 replies, 553 likes
Jasmijn Bastings: We built 🔥 LIT! Extensible, Interactive Visualizations and Analysis for NLP Models. More info, links and video below!
2 replies, 221 likes
Fernanda Viégas: Excited to see the Language Interpretability Tool (LIT) launched! Data visualization for NLP models; what could be better? :)
This is a collaboration between #googlePAIR and NLP researchers at @googIeresearch
1 replies, 33 likes
Sebastian Gehrmann: If you are working on NLP interpretability, try LIT 🔥
We are looking for all kinds of feedback on our early release.
Props to @iftenney and @bengiswex for spearheading this huge effort.
0 replies, 29 likes
James Wexler: Check out our Language Interpretability Tool (LIT), a collab between @GoogleAI PAIR and Language teams. I'm really proud of this work and so excited to see where it goes from here. Consider it a super-powered What-If Tool for NLP models 🔥 #NLProc
0 replies, 26 likes
Andreas Madsen: Woa, amazing too see more Interpretability ideas making their way into NLP.
0 replies, 19 likes
Andy Coenen: NLP might be the most exciting domain in ML, and is likely the field where interpretability is most critical. LIT is a huge step towards that goal.
I had an absolute blast working with some brilliant colleagues on this project. Check it out!
2 replies, 16 likes
Dipanjan Das (@🏠): Check out LIT, a tool for interpreting models of natural language. This was co-led by close colleague @iftenney from the Mountain View part of @GoogleAI's Language team.
0 replies, 10 likes
Nikhil Thorat: Language Interpretability Tool (LIT): a tool / UI which allows probing language models! It lets you query counterfactuals, look at attention vectors, view embedding projections, and more.
LIT is built by some of my coworkers on PAIR, this is a personal favorite project!
1 replies, 7 likes
arxiv: The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis f... http://arxiv.org/abs/2008.05122 https://t.co/m12nogE07W
0 replies, 4 likes
Mahima Pushkarna: 🆕📢 The early release of the Language Interpretability Tool is out and it's 🔥 #LIT ! Give us your suggestions and feedback by opening an issue on our GitHub repo <-- we're watching this space closely! 👀
#MachineLearning #NLP #uxresearch #uxdesign
0 replies, 2 likes
Francesco Ronzano: LIT, interactive python-based tool to explore the Interpretability of NLP (Language) Models / Code https://github.com/PAIR-code/lit / Paper https://arxiv.org/abs/2008.05122 / "Why did my model make this prediction? When does it perform poorly? What happens under a controlled change in the input?"
0 replies, 1 likes
arXiv in review: #EMNLP2020 The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. (arXiv:2008.05122v1 [cs\.CL]) http://arxiv.org/abs/2008.05122
0 replies, 1 likes
Found on Aug 18 2020 at https://arxiv.org/pdf/2008.05122.pdf