3 papers
cs.CL2026
Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs
Sandeep Mishra, Devichand Budagam, Anubhab Mandal +3
Real-time multimodal auto-completion is essential for digital assistants, chatbots, design tools, and healthcare consultations, where user inputs rely on shared visual context. We…
cs.CL2025
SCULPT: Systematic Tuning of Long Prompts
Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal +3
Prompt optimization is essential for effective utilization of large language models (LLMs) across diverse tasks. While existing optimization methods are effective in optimizing sho…
cs.CL2025
Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems
Sandeep Mishra, Anubhab Mandal, Bishal Santra +3
Ghosting, the ability to predict a user's intended text input for inline query auto-completion, is an invaluable feature for modern search engines and chat interfaces, greatly enha…