How Clear Probabilistic Models Can Strengthen Intelligent Systems in an Uncertain World

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
GitHub

From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.

This repo contains the resources for the paper "From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning." In this work, we take mathematical reasoning as a ...
IEEE

Adaptive Multimodal Graph Reasoning With Foundation Models for Fine-Grained Action Recognition

Foundation models have ushered in a new era for multimodal video understanding by enabling the extraction of rich spatiotemporal and semantic representations. In this work, we introduce a novel ...
IEEE

Fast or Slow: Adaptive Decision-Making in Reinforcement Learning with Pre-Trained LLMs

Abstract: This study investigates the use of Large Language Models (LLMs) in Reinforcement Learning (RL) to mimic human adaptive reasoning, and hence the ability to adjust cognitive effort to task ...
MarketWatch

How Posh's AI Operating Procedures Redefine Banking Automation with Agentic Reasoning

The MarketWatch News Department was not involved in the creation of this content. A breakthrough system that resolves banking's greatest AI tension, balancing agency and adherence with blazing speed.
VentureBeat

With 91% accuracy, open source Hindsight agentic memory provides 20/20 vision for AI agents stuck on failing RAG

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...