8 citations · 9 across the 8 of their papers we have counts for
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cs.AI2026
Who Is Sycophantic to Whom? Confident LLMs, Human Deference, and the Collapse of Trust Calibration
Deepthika S, Pawni Yadav, B. Sankar
Research on sycophancy asks whether large language models (LLMs) bend towards what their users want to hear. We ask the reverse question: when an LLM is confident, consistent, and…
cs.AI2026
Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation
Sankar B, Srinidhi Ranjini Girish, Aadya Bharti +1
The generation of truly novel and diverse ideas is important for contemporary engineering design, yet it remains a significant cognitive challenge for novice designers. Current 'si…
cs.AI2024
A Novel Mathematical Framework for Objective Characterization of Ideas
B. Sankar, Dibakar Sen
The demand for innovation in product design necessitates a prolific ideation phase. Conversational AI (CAI) systems that use Large Language Models (LLMs) such as GPT (Generative Pr…