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Latest Research — Page 65

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• StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
• Predicting Microbial Interactions Using Graph Neural Networks
• Failure Prediction at Runtime for Generative Robot Policies
• MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
• BD-HazardVLM: Probing Vision-Language Models for Latent Defensive-Driving Hazards in Bangladesh Road Scenes
• $τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction
• AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts
• RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents
• Generative Neural Operators through Diffusion Last Layer
• Do LLMs Encode Functional Importance of Reasoning Tokens?
• A Human-Centered Privacy Approach (HCP) to AI
• Efficient Robot Design with Multi-Objective Black-Box Optimization and Large Language Models
• HugAgent: Evaluating LLMs in Simulating Human-Like Individual Reasoning on Open-Ended Tasks
• Evaluation Principles for MRI-MRA Registration in Trigeminal Neuralgia: An ROI-Centered Neurovascular Benchmark
• What We Don't C: Manifold Disentanglement for Structured Discovery
• FI-TW: An Open Train-Weather Dataset for Railway Delay Analysis in Finland
• Recoverability and Verifier Strength: Two Measured Preconditions for Unattended Agent Self-Improvement
• AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
• Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction
• Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
• DohaScript: A Large-Scale Multi-Writer Dataset for Continuous Handwritten Hindi Text
• ILR-SMO: Iterative Latent Refinement for Robust Spatial Multi-Omics Integration
• Z-Cache: Accelerating Diffusion Transformers via Self-Reflection
• Vectra: A New Metric, Dataset, and Model for Visual Quality Assessment in E-Commerce In-Image Machine Translation
• Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
• AI-Experiment: an augmented reality art project co-created with artificial intelligence
• Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
• Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning
• Bootstrapping Audiovisual Speech Recognition in Zero-AV-Resource Scenarios with Synthetic Visual Data
• Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models
• Disentangled Representation Learning via Modular Compositional Bias
• Transitive RL: Value Learning via Divide and Conquer
• KH-FUNSD: A Hierarchical and Fine-Grained Layout Analysis Dataset for Low-Resource Khmer Business Document
• Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting
• DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
• Discriminative classification with generative features: bridging Naive Bayes and logistic regression
• TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
• Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds
• Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
• Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation