Abhilasha Ravichander

/ɑ.bʰi.ˈla.ʃə/ (listen)

Abhilasha Ravichander

I am a postdoctoral scholar at the Paul G. Allen Center for Computer Science and Engineering at the University of Washington. I completed my PhD from Carnegie Mellon University.

My research focuses on building trustworthy language models, by:
(1) formulating techniques to rigorously diagnose and validate models and datasets,
(2) developing methods to understand large language models and the mechanisms that drive their predictions, and
(3) building frameworks that enable greater access and control over LLMs.

For more about my work, please see my publications.

I am on the academic job market for the 2024-2025 cycle.



What's New

🌴 I am speaking in a panel on "Navigating Research in the Age of LLMs" at the Widening NLP workshop at EMNLP 2024.

⭐ I am at the "Rising Stars in Generative AI" workshop at UMass Amherst.

🏆 OLMo won the ACL 2024 Best Theme Paper Award 🎉

🏆 Dolma won the ACL 2024 Best Resource Paper Award 🎉

🏆 Artifacts or Abduction? won a best paper award at MASC-SLL 2024 🎉

📚 I co-organized the Workshop on Privacy in Natural Language Processing @ACL 2024

📚 I co-organized the Workshop on Representation Learning for NLP @ ACL 2023.

🗣️ I was on the Minds Matter podcast, to talk about AI!

🗣️ Talk at the National University of Singapore.

🗣️ Talk at UMass NLP.

⭐ I am at the Rising Stars in EECS workshop at the University of Texas at Austin.

🏆 CondaQA won a best paper award at the 2022 SoCal NLP symposium 🎉

⭐ I was selected as a Rising Star in Data Science by the University of Chicago.

💻 I will be spending the summer interning at the Allen Institute for AI with Matt Gardner and Ana Marasovic.

🏆 I was an outstanding reviewer at ACL 2020 and EMNLP 2020.

🤝 I started the NLP With Friends online seminar series, with my wonderful co-organizers Zeerak Waseem, Yanai Elazar and Liz Salesky.

🗣️ I will be speaking in a panel on "The Role of Active Privacy Management in a World Where the Consent Model Breaks Down" at CPDP 2020 in Brussels, Belgium.

🤝 I will be helping lead a research team at the OurCS workshop at CMU. If you are an undergraduate woman, please do consider attending! Funds for hotels and meals will be provided.

💻 I will be spending the summer interning at MSR Montreal with Adam Trischler, Jackie Cheung, and Kaheer Suleman.

🏆 Our work, "Stress Test Evaluation for Natural Language Inference" won an Area Chair Favorite Paper award at COLING 2018! 🎉

🎓 I will be starting my PhD at the Language Technologies Institute, Carnegie Mellon University in Fall 2018.

📚 I am at the Machine Learning Summer School in Tubingen. Let me know if you'd like to meet up!

🏆 Our team was selected to participate in the Alexa Prize with a 100,000$ stipend and additional support from Amazon! Congratulations to all the selected teams.

🏆 Our work on "A Persistent Homology Approach to Document Clustering" won the best poster award in 10-701 (Introduction to Machine Learning (PhD)).