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Latest Research — Page 113

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• Singular Bayesian Neural Networks
• Transient multimode heat transfer of an industrial automated tape laying process under rapidly changing conditions
• SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception
• Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
• Reinforcement Learning in POMDP's via Direct Gradient Ascent
• Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching
• Noise-aware Client Selection for carbon-efficient Federated Learning via Gradient Norm Thresholding
• CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
• DR-Arena: an Automated Evaluation Framework for Deep Research Agents
• DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation
• LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
• Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
• Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
• Membership Inference Attacks Against Fine-tuned Diffusion Language Models
• Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
• Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments
• IG-Pruning: Input-Guided Block Pruning for Large Language Models
• Adaptive Minds: Empowering Agents with LoRA-as-Tools
• Design and development of an electronics-free earthworm robot
• Exploratory, Communicative, and Deployable: Vision-Driven Embodied Agents for Open-World Mobile Manipulation
• Learning to Evict from Key-Value Cache
• YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models
• LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
• Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
• Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
• PatientAct: Theory-Grounded Mental Health Client Simulation
• Monte Carlo Expected Threat (MOCET) Scoring
• IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
• Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
• AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
• Estimating the Event-Related Potential from Few EEG Trials
• Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
• FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
• No-Human in the Loop: Agentic Evaluation at Scale for Recommendation
• How Data Quality Affects Machine Learning Models for Credit Risk Assessment
• The Greedy Advantage in Finite-Horizon Bandits
• H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation
• Segment Anything Across Shots: A Method and Benchmark
• Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
• Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection