2 papers
cs.IR2026
Thinking Ahead: Prospection-Guided Retrieval of Memory with Language Models
Harshita Chopra, Krishna Kant Chintalapudi, Suman Nath +2
Long-horizon personalization requires dialogue assistants to retrieve user-specific facts from extended interaction histories. In practice, many relevant facts often have low seman…
cs.LG2025
How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
Waleed Reda, Abhinav Jangda, Krishna Chintalapudi
As Large Language Models (LLMs) are increasingly deployed for narrow tasks in resource-constrained settings, a central question arises: how much of an LLM is truly necessary for a…