2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Beyond Static Evaluation: Rethinking the Assessment of Personalized Agent Adaptability in Information Retrieval
Kirandeep Kaur, Preetam Prabhu Srikar Dammu, Hideo Joho +1
Personalized AI agents are becoming central to modern information retrieval, yet most evaluation methodologies remain static, relying on fixed benchmarks and one-off metrics that f…
QLENS: Towards A Quantum Perspective of Language Transformers
Aditya Gupta, Kirandeep Kaur, Vinayak Gupta +1
In natural language processing, current methods for understanding Transformers are successful at identifying intermediate predictions during a model's inference. However, these app…
Dynamic Evaluation Framework for Personalized and Trustworthy Agents: A Multi-Session Approach to Preference Adaptability
Chirag Shah, Hideo Joho, Kirandeep Kaur +1
Recent advancements in generative AI have significantly increased interest in personalized agents. With increased personalization, there is also a greater need for being able to tr…
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations
Kirandeep Kaur, Vinayak Gupta, Manya Chadha +1
Conventional recommendation systems (RSs) are typically optimized to enhance performance metrics uniformly across all training samples, inadvertently overlooking the needs of diver…