publications

2025

1. Instruction Following by Boosting Attention of Large Language Models

   Vitoria Guardieiro^*, Adam Stein^*, Avishree Khare^*, and Eric Wong

   (Spotlight) Mechanistic Interpretability Workshop, NeurIPS , 2025
2. LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval

   Avishree Khare, Hideki Okamoto, Bardh Hoxha, Georgios Fainekos, and Rajeev Alur

   A preliminary version of this work will be presented at the NextVid Workshop, NeurIPS, 2025
3. Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference

   Anton Xue^*, Avishree Khare^*, Rajeev Alur, Surbhi Goel, and Eric Wong

   In The Thirteenth International Conference on Learning Representations (ICLR), 2025
4. Boss LLM: Adaptation via No-Regret Learning

   Yu Feng^*, Avishree Khare^*, Nghia Nguyen^*, and Sikata Bela Sengupta^*

   In Workshop on Scaling Self-Improving Foundation Models without Human Supervision, ICLR, 2025
5. Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

   Avishree Khare^*, Saikat Dutta^*, Ziyang Li, Alaia Solko-Breslin, Mayur Naik, and Rajeev Alur

   In Proceedings of the 2025 IEEE Conference on Software Testing, Validation and Verification (ICST), 2025

2023

1. Grace: Language models meet code edits

   Priyanshu Gupta^*, Avishree Khare^*, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, and Ashish Tiwari

   In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE), 2023