3 papers
cs.HC2026
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…
cs.MA2026
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…
cs.HC2026
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…