Papers
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Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization
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Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning
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CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
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mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
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Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
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Static Scene Reconstruction from Dynamic Egocentric Videos
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Towards Automated Community Notes Generation with Large Vision Language Models for Combating Contextual Deception
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SkillRouter: Retrieve-and-Rerank Skill Selection for LLM Agents at Scale
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MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding
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LLM-guided headline rewriting for clickability enhancement without clickbait
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A Theoretical Framework for Energy-Aware Gradient Pruning in Federated Learning
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Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing
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SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
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Stability-Preserving Online Adaptation of Neural Closed-loop Maps
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Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots
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Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures
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Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games
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Tiny Inference-Time Scaling with Latent Verifiers
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Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning
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OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection
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Sketch2CT: Multimodal Diffusion for Structure-Aware 3D Medical Volume Generation
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Do Large Language Models Reduce Research Novelty? Evidence from Information Systems Journals
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Hebbian Attractor Networks for Robot Locomotion
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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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