Papers
-
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
-
MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning
-
Autoregressive vs. Masked Diffusion Language Models: A Controlled Comparison
-
A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP
-
P-Flow: Prompting Visual Effects Generation
-
Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models
-
GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning
-
SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models
-
FreeArtGS: Articulated Gaussian Splatting Under Free-moving Scenario
-
Multiperspectivity as a Resource for Narrative Similarity Prediction
-
On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation
-
StreamingClaw Technical Report
-
Mamba-VMR: Multimodal Query Augmentation via Generated Videos for Precise Temporal Grounding
-
Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling
-
DA-VAE: Plug-in Latent Compression for Diffusion via Detail Alignment
-
Computationally lightweight classifiers with frequentist bounds on predictions
-
The Semantic Ladder: A Framework for Progressive Formalization of Natural Language Content for Knowledge Graphs and AI Systems
-
OpenEarth-Agent: From Tool Calling to Tool Creation for Open-Environment Earth Observation
-
More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice
-
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
-
dynActivation: A Trainable Activation Family for Adaptive Nonlinearity
-
RAMPAGE: RAndomized Mid-Point for debiAsed Gradient Extrapolation
-
Multimodal Survival Analysis with Locally Deployable Large Language Models
-
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
-
Mixture of Demonstrations for Textual Graph Understanding and Question Answering
-
Causal Evidence that Language Models use Confidence to Drive Behavior
-
ACPO: Counteracting Likelihood Displacement in Vision-Language Alignment with Asymmetric Constraints
-
Calibeating Made Simple
-
MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management
-
Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
-
Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?
-
Enhancing Document-Level Machine Translation via Filtered Synthetic Corpora and Two-Stage LLM Adaptation
-
Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
-
A Backbone Benchmarking Study on Self-supervised Learning as a Auxiliary Task with Texture-based Local Descriptors for Face Analysis
-
PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
-
CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks
-
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
-
Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs
-
Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models
-
SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
-
Evaluating the Reliability and Fidelity of Automated Judgment Systems of Large Language Models
-
Gumbel Distillation for Parallel Text Generation
-
Noise Titration: Exact Distributional Benchmarking for Probabilistic Time Series Forecasting
-
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
-
Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research
-
SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation
-
Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre
-
Riverine Land Cover Mapping through Semantic Segmentation of Multispectral Point Clouds
-
One Model, Two Markets: Bid-Aware Generative Recommendation
-
ShapDBM: Exploring Decision Boundary Maps in Shapley Space
MongoDB - Build AI That Scales
