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Latest Research — Page 30

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• PANDA: Prior-guided Attentional Dual-path Architecture
• BoxMind: Closed-loop AI strategy optimization for elite boxing validated in the 2024 Olympics
• CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
• FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models
• Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
• Trust, Usefulness, and Dependency on AI in Programming: A Hierarchical Clustering Approach
• Guided Transfer Learning for Discrete Diffusion Models
• LabelAny3D: Label Any Object 3D in the Wild
• INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
• MODEST: Multi-Optics Depth-of-Field Stereo Dataset
• Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
• Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation
• The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses
• UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles
• Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
• Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training
• Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
• Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation
• WeLM-Image: A Unified Image Generation Model towards Visual Intelligence
• Fluid Reasoning Representations
• ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
• AutoRef: Harness Optimization for Agentic Multi-Reference Image Generation
• MPA: Multimodal Prototype Augmentation for Few-Shot Learning
• Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
• A Very Big Video Reasoning Suite
• Budget-Aware Tool Use Enables Effective Agent Scaling
• Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network
• Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
• DragonMoCap: Monocular Video-based Motion Capture for Diverse Dragon Topologies
• FormuEvo: LLM-Guided Evolution for Discovering Solver-Efficient Mixed-Integer Programming Formulations
• A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation
• Aligning Agentic World Models via Knowledgeable Experience Learning
• IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling
• CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
• On the Generalization Limitation of On-Policy Distillation for Post-RL Consolidation
• Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild
• Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions
• FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
• PRISM: Protocol Refinement through Intelligent Simulation Modeling
• Design Anything, Design at Scale