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Research & Development
RealDPO: A New Approach for Realistic Video Motion Synthesis
TLDR: RealDPO is a novel method that uses real-world videos as preferred examples to train video generative models, improving the realism of complex motions,...
Research & Development
Elastic-Cache: Smarter Decoding for Diffusion Language Models
TLDR: Elastic-Cache is a novel, training-free method that dramatically accelerates Diffusion Large Language Models (DLMs) by intelligently managing their Key-Value (KV) cache. It adaptively...
Research & Development
Unifying Vision and Language: Introducing the NEO Model Family
TLDR: The research introduces NEO, a new family of native Vision-Language Models (VLMs) that integrate vision and language from fundamental principles. Unlike traditional modular...
Research & Development
Unlocking Autonomous LLM Agents with Agentic Self-Learning
TLDR: Agentic Self-Learning (ASL) is a novel framework that enables Large Language Model (LLM) agents to continuously improve their problem-solving, task generation, and evaluation...
Research & Development
MASC: Equipping Multi-Agent LLM Systems with Real-Time Self-Correction
TLDR: MASC is a metacognitive framework that provides LLM-based multi-agent systems with real-time, unsupervised, step-level error detection and self-correction. It works by predicting the...
Research & Development
Proactive AI Assistance with Smart Glasses: Introducing Alpha-Service
TLDR: Alpha-Service is a new AI framework deployed on smart glasses that shifts AI from reactive to proactive assistance. Inspired by the von Neumann...