Papers
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The End of Rented Discovery: How AI Search Redistributes Power Between Hotels and Intermediaries
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Fine-tuning Timeseries Predictors Using Reinforcement Learning
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Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
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MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space Models
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Agentic Harness for Real-World Compilers
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A Unified Platform and Quality Assurance Framework for 3D Ultrasound Reconstruction with Robotic, Optical, and Electromagnetic Tracking
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A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
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Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues
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Operator Learning for Smoothing and Forecasting
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Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment
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How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models
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LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
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An Empirical Study of SFT-DPO Interaction and Parameterization in Small Language Models
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Pitfalls in Evaluating Interpretability Agents
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Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
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The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus
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Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition
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GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
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Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture -- Bridging Predictive and Generative Self-Supervised Learning
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Demonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech
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Current LLMs still cannot 'talk much' about grammar modules: Evidence from syntax
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Conditioning Protein Generation via Hopfield Pattern Multiplicity
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Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning
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Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
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Generalizable NGP-SR: Generalizable Neural Radiance Fields Super-Resolution via Neural Graph Primitives
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An Agentic Multi-Agent Architecture for Cybersecurity Risk Management
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Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents
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Reasoning Gets Harder for LLMs Inside A Dialogue
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AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI
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Synergistic Perception and Generative Recomposition: A Multi-Agent Orchestration for Expert-Level Building Inspection
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Can Large Multimodal Models Inspect Buildings? A Hierarchical Benchmark for Structural Pathology Reasoning
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Enhancing Hyperspace Analogue to Language (HAL) Representations via Attention-Based Pooling for Text Classification
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Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case
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Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD
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Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
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Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
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The Robot's Inner Critic: Self-Refinement of Social Behaviors through VLM-based Replanning
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Comprehensive Description of Uncertainty in Measurement for Representation and Propagation with Scalable Precision
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EgoForge: Goal-Directed Egocentric World Simulator
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Learning Dynamic Belief Graphs for Theory-of-mind Reasoning
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WebNavigator: Global Web Navigation via Interaction Graph Retrieval
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Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
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TinyML Enhances CubeSat Mission Capabilities
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LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis
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Adaptive Greedy Frame Selection for Long Video Understanding
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Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
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Kolmogorov-Arnold causal generative models
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VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking
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Improving Image-to-Image Translation via a Rectified Flow Reformulation
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MuSteerNet: Human Reaction Generation from Videos via Observation-Reaction Mutual Steering
MongoDB - Build AI That Scales
