4 papers · 1 filter
Caching for the Future: Scrub Jay Episodic Memory Principles for Agent Memory Systems
Kartikey Singh Bhandari, Aarya Wadhwani, Dhruv Kumar +1
LLM agents that persist across sessions accumulate stored memories whose validity varies enormously by content type, yet existing memory architectures treat all memories as equally…
Navigating the Reality Gap: On-Device Continual Adaptation of ASR for Clinical Telephony
Darshil Chauhan, Adityasinh Solanki, Vansh Patel +5
Automatic Speech Recognition (ASR) can significantly reduce documentation burden in clinical workflows, but standard models degrade sharply in real-world telephony settings where n…
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews
Aakash Trivedi, Aniket Upadhyay, Pratik Narang +2
Extracting actionable suggestions from customer reviews is essential for operational decision-making, yet these directives are often embedded within mixed-intent, unstructured text…
From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
Shubham Mishra, Samyek Jain, Gorang Mehrishi +4
Retrieval-Augmented Generation (RAG) grounds large language models (LLMs) in external evidence, but fails when retrieved sources conflict or contain outdated or subjective informat…