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Generating and Evaluating Sustainable Procurement Criteria for the Swiss Public Sector using In-Context Prompting with Large Language Models
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High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels
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LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
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Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
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Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion
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GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs
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Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos
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Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
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UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images
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Generalized multi-object classification and tracking with sparse feature resonator networks
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Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
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AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture
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Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
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MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data
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Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbs
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CanViT: Toward Active-Vision Foundation Models
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FullCircle: Effortless 3D Reconstruction from Casual 360$^\circ$ Captures
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CAPITU: A Benchmark for Evaluating Instruction-Following in Brazilian Portuguese with Literary Context
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STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving
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Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
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A vision-language model and platform for temporally mapping surgery from video
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A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
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flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
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Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
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Language Models Can Explain Visual Features via Steering
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TrajLoom: Dense Future Trajectory Generation from Video
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Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
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Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
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Do Consumers Accept AIs as Moral Compliance Agents?
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Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning
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Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
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Transfer learning via interpolating structures
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A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images
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To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
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Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
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Upper Entropy for 2-Monotone Lower Probabilities
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PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis
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Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations
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LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
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CAM3R: Camera-Agnostic Model for 3D Reconstruction
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Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
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Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
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Q-Tacit: Image Quality Assessment via Latent Visual Reasoning
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Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
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CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
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Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
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AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research
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Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging
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MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping
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Cross-Context Verification: Hierarchical Detection of Benchmark Contamination through Session-Isolated Analysis
