8 citations · 9 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Creating an Atomic User Model for Personality-Aware Large Language Model Interaction
B. Sankar, Deepthika S, Pawni Yadav +1
Assistants built on large language models are expected to write in their users' own voice. Most systems summarise the user's preferences and include the summary in the prompt. This…
Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution
B. Sankar, Pawni Yadav, Srinidhi Ranjini Girish +1
Large language models (LLMs) are integral to complex intellectual tasks, yet output quality remains constrained by user-provided prompts. Iterative multi-turn prompting often leads…
Git for Sketches: An Intelligent Tracking System for Capturing Design Evolution
Sankar B, Amogh A S, Sandhya Baranwal +1
During product conceptualization, capturing the non-linear history and cognitive intent is crucial. Traditional sketching tools often lose this context. We introduce DIMES (Design…
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…