Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering
Anzeige
Ähnliche Artikel
arXiv – cs.AI
•
LLMs als menschzentrierte Begleiter: Ein neues Rahmenwerk für verantwortungsvolle KI
VentureBeat – AI
•
From static classifiers to reasoning engines: OpenAI’s new model rethinks content moderation
arXiv – cs.LG
•
NUM2EVENT: Interpretable Event Reasoning from Numerical time-series
arXiv – cs.LG
•
Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
arXiv – cs.AI
•
PromptFlow: Training Prompts Like Neural Networks
MarkTechPost
•
Meta AI Proposes ‘Metacognitive Reuse’: Turning LLM Chains-of-Thought into a Procedural Handbook that Cuts Tokens by 46%