Speechmatics - API for Voice AI Agents
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Shaping the Future of Mathematics in the Age of AI
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Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
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Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
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GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
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LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
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Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
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CVA: Context-aware Video-text Alignment for Video Temporal Grounding
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TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization
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Infinite Gaze Generation for Videos with Autoregressive Diffusion
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Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
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Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action Models
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BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation
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FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
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MobileDev-Bench: A Comprehensive Benchmark for Evaluating Language Models on Mobile Application Development
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Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
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Select, Hypothesize and Verify: Towards Verified Neuron Concept Interpretation
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Toward domain-specific machine translation and quality estimation systems
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A Survey of OCR Evaluation Methods and Metrics and the Invisibility of Historical Documents
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Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
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Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
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Self-Corrected Image Generation with Explainable Latent Rewards
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The Anatomy of Uncertainty in LLMs
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Subject-Specific Low-Field MRI Synthesis via a Neural Operator
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PASDiff: Physics-Aware Semantic Guidance for Joint Real-world Low-Light Face Enhancement and Restoration
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DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
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The Value of Information in Resource-Constrained Pricing
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LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems
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Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
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MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
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Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning
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Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
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Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
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Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
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Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
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C2W-Tune: Cavity-to -Wall Transfer Learning for Thin Atrial Wall Segmentation in 3D Late Gadolinium-enhanced Magnetic Resonance
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Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting
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Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
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CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
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Distributed Real-Time Vehicle Control for Emergency Vehicle Transit: A Scalable Cooperative Method
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Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
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Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs
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Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
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Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields
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A Systematic Empirical Study of Grokking: Depth, Architecture, Activation, and Regularization
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Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models
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GDPO-Listener: Expressive Interactive Head Generation via Auto-Regressive Flow Matching and Group reward-Decoupled Policy Optimization
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VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning
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A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
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Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy
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Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method
