2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
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…
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah
As question answering (QA) systems advance alongside the rapid evolution of foundation models, the need for robust, adaptable, and large-scale evaluation benchmarks becomes increas…