Papers
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CoVR-R:Reason-Aware Composed Video Retrieval
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Deterministic Mode Proposals: An Efficient Alternative to Generative Sampling for Ambiguous Segmentation
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LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
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From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
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MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints
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ALARA for Agents: Least-Privilege Context Engineering Through Portable Composable Multi-Agent Teams
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The production of meaning in the processing of natural language
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Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier
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Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification
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Jigsaw Regularization in Whole-Slide Image Classification
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From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
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A chemical language model for reticular materials design
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CAMA: Exploring Collusive Adversarial Attacks in c-MARL
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Monocular Models are Strong Learners for Multi-View Human Mesh Recovery
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SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning
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Compression is all you need: Modeling Mathematics
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KV Cache Optimization Strategies for Scalable and Efficient LLM Inference
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FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
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Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization
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Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP
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Thinking in Different Spaces: Domain-Specific Latent Geometry Survives Cross-Architecture Translation
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Meta-Learning for Repeated Bayesian Persuasion
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SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators
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Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression
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Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite tapes
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CERN: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
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Hawkeye: Reproducing GPU-Level Non-Determinism
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PEARL: Personalized Streaming Video Understanding Model
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Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making
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Benchmarking Efficient & Effective Camera Pose Estimation Strategies for Novel View Synthesis
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Coding Agents are Effective Long-Context Processors
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ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability
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Verifiable Error Bounds for Physics-Informed Neural KKL Observers
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Deep reflective reasoning in interdependence constrained structured data extraction from clinical notes for digital health
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Trained Persistent Memory for Frozen Decoder-Only LLMs
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A Training-Free Regeneration Paradigm: Contrastive Reflection Memory Guided Self-Verification and Self-Improvement
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Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
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Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis
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Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents
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Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
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SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
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Reinforcement Learning from Multi-Source Imperfect Preferences: Best-of-Both-Regimes Regret
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Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs
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Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
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Diffutron: A Masked Diffusion Language Model for Turkish Language
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Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables
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DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
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From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
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CREG: Compass Relational Evidence for Interpreting Spatial Reasoning in Vision-Language Models
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Fair splits flip the leaderboard: CHANRG reveals limited generalization in RNA secondary-structure prediction
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