2 papers
cs.AI2026
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Junyan Cheng, Kyle Richardson, Peter Chin
Large language model (LLM) agents are increasingly tasked with complex real-world analysis (e.g., in financial forecasting, scientific discovery), yet their reasoning suffers from…
cs.LG2025
ZipNN: Lossless Compression for AI Models
Moshik Hershcovitch, Andrew Wood, Leshem Choshen +7
With the growth of model sizes and the scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While th…