Kirandeep Kaur

Knowing Isn’t Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

Kirandeep Kaur, Chirag Shah

The Oversight Game: Aligning Incentives in Human–AI Governance

Arnab Maiti, Matthew Bryan, Kirandeep Kaur

The PROPER Approach to Proactivity: Benchmarking and Advancing Knowledge Gap Navigation

Kirandeep Kaur,Vinayak Gupta, Aditya Gupta, Chirag Shah

Analyzing Information Flow and Attack Surfaces in Complex Agentic Frameworks

Kirandeep Kaur, Tanusree Sharma

Cold-Start Audiobook Recommendation via Cross-Domain Sub-Tower Fusion

Kirandeep Kaur, Amit Goyal

Graph Workshop at AMLC'2025 (Amazon Machine Learning Conference).

QLens: Towards a Quantum Perspective of Language Transformers

Aditya Gupta,Kirandeep Kaur, Vinayak Gupta

Efficient and Responsible Adaptation of LLMs for Robust Top-k Recommendations

Kirandeep Kaur, Vinayak Gupta, Manya Chadha, Chirag Shah

ACM Transactions on Recommender Systems (TORS). 2025

Beyond Static Evaluation: Rethinking the Assessment of Personalized Agent Adaptability in Information Retrieval

Kirandeep Kaur,Preetam P.S.Dammu, Hideo Joho, Chirag Shah

ACM SIGIR'AP 2025: International ACM SIGIR Conference on Information Retrieval in the Asia Pacific.

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems

Kirandeep Kaur, Sujit Gujar, Shweta Jain

EqBal-RS: Mitigating Popularity Bias in Recommendation Systems

Shivam Gupta, Kirandeep Kaur, Shweta Jain

Journal of Intelligent Information Systems (JIIS). 2023.

Improving the Resolution of Protein Structure Imaging

Mustafa Arikan, Dan Burrows, Kirandeep Kaur, Osian Shelley, Nayef Shkeir, Jesse Spielman, Lorenzo Toniazzi, Xiaochen Yang, Naya Yerolemou, Kit Windows-Yule, Leonard Nicusan

Data Study Group Report, Alan Turing Institute,UK. 2022