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 as their user would, and the dominant approach is single-channel: preferences summarised from conversation history a…
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…