3 papers
cs.AI2026
NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
Mujahid Sultan, Sri Thuraisamy, Daya Rajaratnam
We present NeuSymMS, an adaptive memory system that enables large language model (LLM) agents to learn, remember, and reason about users across sessions via a hybrid neuro-symbolic…
cs.LG2025
Optimal Policy Minimum Bayesian Risk
Ramón Fernandez Astudillo, Md Arafat Sultan, Aashka Trivedi +4
Inference scaling helps LLMs solve complex reasoning problems through extended runtime computation. On top of long chain-of-thought (long-CoT) models, purely inference-time techniq…
cs.CL2025
Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency
Md Arafat Sultan, Ramón Fernandez Astudillo
Despite its simplicity and efficacy, the high token expenditure of self-consistency can limit its practical utility. Here we investigate if self-consistency can be made more token-…