AI
Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders
Researchers have proposed a framework called CAIRO to improve Large Language Model (LLM) recommender...
AI
Denoising the Future: Context-Aware Spectral Diffusion for Temporal Knowledge Graph Extrapolation
Researchers have proposed a new framework called FreqDiff for predicting future facts in temporal kn...
AI
TRACE: Training-time Report-guided and Clinically Ordered Concept Editing
A new AI framework called TRACE is proposed for breast ultrasound diagnosis. It uses structured radi...
AI
When Generated Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception
Researchers have developed a method to improve the performance of AI-generated images in terms of bo...
AI
Scaling Muon for Diffusion Transformers
Researchers have investigated the performance of Muon, a matrix-aware optimizer ...
AI
STAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction
Researchers have proposed a new method called STAR-OPD to improve the performanc...
AI
Advantage-level Aggregation Reinforcement Learning for X-point Target Magnetic Configuration Control in an EXL-50U Experiment-Calibrated Simulation Environment
Researchers have developed a new method for controlling the magnetic configurati...
AI
BC-Bench: Evaluating Agentic Engineering in a Domain-Specific Language for ERP
Researchers have created a benchmark called BC-Bench to evaluate how well artifi...