7 papers
Report on The 1st Workshop on Human-Centered Proactive and Personalized Agents for Interactive Information Access at CHIIR 2026
Kirandeep Kaur, Vinayak Gupta, Tanya Roosta +3
Interactive information access is increasingly moving beyond reactive query-response paradigms toward agentic systems that can personalize interaction, retain context, infer latent…
Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
Kirandeep Kaur, Xingda Lyu, Chirag Shah
Generative AI agents equate understanding with resolving explicit queries, an assumption that confines interaction to what users can articulate. This assumption breaks down when us…
PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation
Kirandeep Kaur, Vinayak Gupta, Aditya Gupta +1
Current approaches to proactive assistance move beyond the ask-and-respond paradigm by anticipating user needs. In practice, they either burden users with clarifying questions or r…
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…
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…
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…