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Latest Research — Page 90
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- Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization
- TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
- Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
- Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
- Security Is Not Enough: Privacy in Encryption Regulation and Lawful-Surveillance Protocols
- Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
- TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
- PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
- StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
- Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
- On Thin Ice: Towards Explainable Conservation Monitoring via Attribution and Perturbations
- Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
- WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation
- ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
- FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
- MV-Performer: Taming Video Diffusion Model for Faithful and Synchronized Multi-view Performer Synthesis
- Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation
- Improved Training Technique for Shortcut Models
- Localize-Then-Decide Guarantees for LLM Judgments
- Train a Unified Multimodal Data Quality Classifier with Synthetic Data
- AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
- Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization
- Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs
- BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
- Hellinger Multimodal Variational Autoencoders
- Beyond Confidence: The Rhythms of Reasoning in Generative Models
- Tracking and Understanding Object Transformations
- FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
- Explainable Graph Representation Learning via Graph Pattern Analysis
- Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
- Prism: Spectral-Aware Block-Sparse Attention
- Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People
- Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
- GOD: Govern, Observe, and Direct - A Real-Time Control Room for Agent Societies
- HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
- ROFI: A Deep Learning-Based Ophthalmic Sign-Preserving and Reversible Patient Face Anonymizer
- Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
- Watermarks Without Verification: AI Text Watermarking After the EU AI Act
- DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
- ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference