Nature research paper: Mapping the neuronal building blocks of human language with language models

Research Team Collects 10,000 Hours of Neuro-Language Data for Thought-to-Text Models

A research team has collected approximately 10,000 hours of neuro-language data from thousands of individuals over six months, claiming it t

Enhancing Abstraction in Large Language Models Through Nature-Inspired Semantic Patterns

Reinforcement Learning to Train Large Language Models to Explain Human Decisions

Neuroscientist Ev Fedorenko's Research on the Brain's Language Network and Its Similarities to AI Models

Neuroscientist Ev Fedorenko has spent 15 years studying the brain's language network, discovering that language processing in the human brai

SpikingBrain-7B: Brain-Inspired Large Language Model with Hybrid Architecture

SpikingBrain-7B is a brain-inspired large language model that integrates hybrid efficient attention, MoE (Mixture of Experts) modules, and s

Research on Hallucination-Associated Neurons in Large Language Models: Identification, Impact, and Origins

This research paper investigates hallucination-associated neurons (H-Neurons) in large language models, examining their identification, beha