Papers
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PHONOS: PHOnetic Neutralization for Online Streaming Applications
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The Last Fingerprint: How Markdown Training Shapes LLM Prose
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RASPRef: Retrieval-Augmented Self-Supervised Prompt Refinement for Large Reasoning Models
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UMI-Underwater: Learning Underwater Manipulation without Underwater Teleoperation
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GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
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Generative Shape Reconstruction with Geometry-Guided Langevin Dynamics
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On-Device Super Resolution Imaging Using Low-Cost SPAD Array and Embedded Lightweight Deep Learning
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Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
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Pashto Common Voice: Building the First Open Speech Corpus for a 60-Million-Speaker Low-Resource Language
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TAPS: Task Aware Proposal Distributions for Speculative Sampling
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YOLO Object Detectors for Robotics -- a Comparative Study
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RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs
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Material Identification using Multi-Modal Intrinsic Radiation and Radiography
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Unified Number-Free Text-to-Motion Generation Via Flow Matching
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CREST: Constraint-Release Execution for Multi-Robot Warehouse Shelf Rearrangement
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Introducing MELI: the Mandarin-English Language Interview Corpus
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Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching
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Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
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LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
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SurgPhase: Time efficient pituitary tumor surgery phase recognition via an interactive web platform
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Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
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Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data
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MemGuard-Alpha: Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting via Membership Inference and Cross-Model Disagreement
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On the Foundations of Trustworthy Artificial Intelligence
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Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
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Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environments
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Gaussian Joint Embeddings For Self-Supervised Representation Learning
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Associative Memory using Attribute-Specific Neuron Groups-2: Learning and Sequential Associative Recall between Cue Neurons for different Cue Balls
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ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects
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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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