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ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
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Seasoning Generative Models for a Generalization Aftertaste
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Detecting Basic Values in A Noisy Russian Social Media Text Data: A Multi-Stage Classification Framework
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Student views in AI Ethics and Social Impact
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Agent Control Protocol: Admission Control for Agent Actions
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Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging
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Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
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A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
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Towards Interpretable Foundation Models for Retinal Fundus Images
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HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models
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Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
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BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding
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Motion-o: Trajectory-Grounded Video Reasoning
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RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
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Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
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Data-driven construction of machine-learning-based interatomic potentials for gas-surface scattering dynamics: the case of NO on graphite
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RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
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Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions
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Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments
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Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges
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Bridging Network Fragmentation: A Semantic-Augmented DRL Framework for UAV-aided VANETs
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DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
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Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Study on Duolingo
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A Human-in/on-the-Loop Framework for Accessible Text Generation
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Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
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Reasoning over mathematical objects: on-policy reward modeling and test time aggregation
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Authority-Level Priors: An Under-Specified Constraint in Hierarchical Predictive Processing
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PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
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MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model
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Quantitative Introspection in Language Models: Tracking Internal States Across Conversation
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I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
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From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
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Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
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Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution
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Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
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Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models
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Secure Linear Alignment of Large Language Models
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Progressive Training for Explainable Citation-Grounded Dialogue: Reducing Hallucination to Zero in English-Hindi LLMs
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GHOST: Fast Category-agnostic Hand-Object Interaction Reconstruction from RGB Videos using Gaussian Splatting
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Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
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Agentic Business Process Management: A Research Manifesto
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Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
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Improving moment tensor solutions under Earth structure uncertainty with simulation-based inference
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An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
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Kernel Single-Index Bandits: Estimation, Inference, and Learning
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Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thought
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Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
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VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
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A conceptual framework for ideology beyond the left and right
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Context Bootstrapped Reinforcement Learning
