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Research & Development
AI Model TRADING-R1 Enhances Financial Trading with Structured Reasoning
TLDR: TRADING-R1 is a new AI model that uses supervised fine-tuning and reinforcement learning to improve financial trading decisions. It learns to generate structured,...
Research & Development
Unifying Speech Understanding: How FuseCodec Integrates Meaning and Context into Digital Speech
TLDR: FuseCodec is a new speech tokenization framework that unifies acoustic, semantic, and contextual representations of speech. It uses three novel techniques—Latent Representation Fusion,...
Research & Development
HARP: Unveiling LLM Hallucinations Through Reasoning Subspace Projection
TLDR: HARP is a novel framework for detecting hallucinations in Large Language Models (LLMs). It proposes decomposing an LLM's hidden state space into a...
Research & Development
Advancing GUI Automation with Semi-online Reinforcement Learning
TLDR: A new research paper introduces Semi-online Reinforcement Learning, a novel training paradigm for GUI agents that combines the stability of offline training with...
Research & Development
Advancing Person Re-Identification Across Visible and Infrared Modalities Without Manual Labels
TLDR: A new method called Hierarchical Identity Learning (HIL) improves unsupervised person re-identification across visible and infrared cameras. It uses a two-stage clustering process...
Research & Development
DAPNet: A Smart System for Identifying Network Threats by Adapting to Data Patterns
TLDR: DAPNet is a new framework for classifying network states, crucial for cybersecurity and performance. It uses a Mixture-of-Experts (MoE) architecture with three specialized...