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arXiv AI
Agentic Share-of-Search: A Multi-Agent AI System for Competitive Decision-Making in LLM-Mediated E-Commerce
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An AI-Powered Culturally Aware Chatbot for Stress Detection and Wellness Support among Pakistani University Students Using NLP and Machine Learning
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CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting
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A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies
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NovGauge: A Fine-Grained Benchmark for Diagnosing LLMs' Capability in Paper Novelty Assessment
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Sci-MMR: Benchmarking Multi-Step Evidence-Grounded Scientific Reasoning in Multimodal Agents
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AI-Powered Flare Combustion Efficiency Estimation
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Predicting Train Delays in Finland Using Machine Learning and Weather Data
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Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1
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When Does Text Inform? Benchmarking Information-Theoretic Metrics for Multimodal Time-Series Forecasting
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Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data
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Off-Target Effects of Response-Style Alignment in a Korean 27B Language Model
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Memory Compression for High-Fanout Agent Sandboxes
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Routing by Reasoning Need: Trajectory-Aware Decoding Control for Diffusion Vision-Language Models
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Mr.LHDR: A Benchmark for Multimodal Real-World Long-Horizon Deep Research Agents
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Magenta: Closing the Loop Between Mathematical Reasoning and Lean Verification
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AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model
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Exploring Diffusion Transformers for Cross-Modal Augmentation in Multimodal Brain State Decoding
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Portable Semantics, Private Dialects: Reuse and Negative Transfer in Latent Communication Between Language-Model Cells
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RAMamba-Net: A Reliability-Aware and Mamba-Based Multimodal Fusion Network for Auditory Attention Detection
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Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning
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From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment
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LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study
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Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration
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RouteRepair: Instance-Level Failure Diagnosis and Targeted Repair in LLM-Based Automated Heuristic Design for Routing Optimization
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Flexible and Interpretable Accent Distance Measurements
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The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation
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Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
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