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Latest Research — Page 5

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• Is Finer Better? The Limits of Microscaling Formats in Large Language Models
• Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection
• PanicToCalm: A Proactive Counseling Agent for Panic Attacks
• SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
• AutoTool: Efficient Tool Selection for Large Language Model Agents
• MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
• From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps
• Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes
• Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing
• Sample-Adaptivity Tradeoff in On-Demand Sampling
• EgoMaize: A First-Person Maize Instance Segmentation Benchmark under Severe Field Occlusion
• Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
• Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era
• MIBURI: Towards Expressive Interactive Gesture Synthesis
• Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment
• Revisiting Orbital Minimization Method for Neural Operator Decomposition
• ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams
• A Unified Definition of Hallucination: It's The World Model, Stupid!
• Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
• A Multi-fidelity Double-Delta Wing Dataset and Empirical Scaling Laws for GNN-based Aerodynamic Field Surrogate
• LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
• SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
• KnowThyself: An Agentic Assistant for LLM Interpretability
• Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
• White-Box Sensitivity Auditing with Steering Vectors
• Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
• KLASS: KL-Guided Fast Inference in Masked Diffusion Models
• How to Correctly Report LLM-as-a-Judge Evaluations
• Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning
• Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
• LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight
• Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering
• Structured Personalization: Modeling Constraints as Matroids for Data-Minimal LLM Agents
• MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
• Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
• Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
• RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems
• TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
• LaGen: Towards Autoregressive LiDAR Scene Generation
• CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field