Papers
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AIRA_2: Overcoming Bottlenecks in AI Research Agents
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Identifying Connectivity Distributions from Neural Dynamics Using Flows
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Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
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Clinical named entity recognition in the Portuguese language: a benchmark of modern BERT models and LLMs
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AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
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CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
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Beyond Textual Knowledge-Leveraging Multimodal Knowledge Bases for Enhancing Vision-and-Language Navigation
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JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
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ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
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The internal law of a material can be discovered from its boundary
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Learnable Quantum Efficiency Filters for Urban Hyperspectral Segmentation
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Stabilizing Rubric Integration Training via Decoupled Advantage Normalization
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How Open Must Language Models be to Enable Reliable Scientific Inference?
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OVI-MAP:Open-Vocabulary Instance-Semantic Mapping
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The Multi-AMR Buffer Storage, Retrieval, and Reshuffling Problem: Exact and Heuristic Approaches
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Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model
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AutoWeather4D: Autonomous Driving Video Weather Conversion via G-Buffer Dual-Pass Editing
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A Lyapunov Analysis of Softmax Policy Gradient for Stochastic Bandits
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Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning
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Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones
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HolisticSemGes: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matching
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Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
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When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models
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MemBoost: A Memory-Boosted Framework for Cost-Aware LLM Inference
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Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
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Machine Unlearning under Retain-Forget Entanglement
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Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow
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The Climber's Grip -- Personalized Deep Learning Models for Fear and Muscle Activity in Climbing
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Scene Grounding In the Wild
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EZASP -- Facilitating the usage of ASP
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MA-Bench: Towards Fine-grained Micro-Action Understanding
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EnTaCs: Analyzing the Relationship Between Sentiment and Language Choice in English-Tamil Code-Switching
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From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
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The Limits of Learning from Pictures and Text: Vision-Language Models and Embodied Scene Understanding
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Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation
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PQuantML: A Tool for End-to-End Hardware-aware Model Compression
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Characterization and forecasting of national-scale solar power ramp events
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From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
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VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward
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Sustainability Is Not Linear: Quantifying Performance, Energy, and Privacy Trade-offs in On-Device Intelligence
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Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Colliders
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Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling
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Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
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Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits
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Machine Learning Transferability for Malware Detection
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A federated architecture for sector-led AI governance: lessons from India
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Drive-Through 3D Vehicle Exterior Reconstruction via Dynamic-Scene SfM and Distortion-Aware Gaussian Splatting
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Make Geometry Matter for Spatial Reasoning
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Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation
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LACON: Training Text-to-Image Model from Uncurated Data
MongoDB - Build AI That Scales
