Mini toolsPapers
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TAFG-MAN: Timestep-Adaptive Frequency-Gated Latent Diffusion for Efficient and High-Quality Low-Dose CT Image Denoising
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ReLaMix: Residual Latency-Aware Mixing for Delay-Robust Financial Time-Series Forecasting
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Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
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RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation
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NoveltyAgent: Autonomous Novelty Reporting Agent with Point-wise Novelty Analysis and Self-Validation
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Characterizing the onset and offset of motor imagery during passive arm movements induced by an upper-body exoskeleton
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Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning
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Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
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LLM Router: Prefill is All You Need
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Beyond the Birkhoff Polytope: Spectral-Sphere-Constrained Hyper-Connections
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The data heat island effect: quantifying the impact of AI data centers in a warming world
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Natural Gradient Descent for Online Continual Learning
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Mitigating Shortcut Reasoning in Language Models: A Gradient-Aware Training Approach
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The Hidden Puppet Master: A Theoretical and Real-World Account of Emotional Manipulation in LLMs
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Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers
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Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data
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LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models
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Do LLM-Driven Agents Exhibit Engagement Mechanisms? Controlled Tests of Information Load, Descriptive Norms, and Popularity Cues
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Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction
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Enhancing LIME using Neural Decision Trees
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Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
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Discriminative Representation Learning for Clinical Prediction
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Profit is the Red Team: Stress-Testing Agents in Strategic Economic Interactions
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Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks
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Active Inference for Physical AI Agents -- An Engineering Perspective
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Stability of Sequential and Parallel Coordinate Ascent Variational Inference
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Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
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Causally-Guided Diffusion for Stable Feature Selection
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AC4A: Access Control for Agents
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MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
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User Preference Modeling for Conversational LLM Agents: Weak Rewards from Retrieval-Augmented Interaction
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gUFO: A Gentle Foundational Ontology for Semantic Web Knowledge Graphs
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Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents
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Beyond Expression Similarity: Contrastive Learning Recovers Functional Gene Associations from Protein Interaction Structure
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Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study
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Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models
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Elite Lanes: Evolutionary Generation of Realistic Small-Scale Road Networks
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Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification
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Hard labels sampled from sparse targets mislead rotation invariant algorithms
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Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge
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GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies
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DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles
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Detection of adversarial intent in Human-AI teams using LLMs
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From Causal Discovery to Dynamic Causal Inference in Neural Time Series
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Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning
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LJ-Bench: Ontology-Based Benchmark for U.S. Crime
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Context Cartography: Toward Structured Governance of Contextual Space in Large Language Model Systems
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JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMs
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GHOST: Ground-projected Hypotheses from Observed Structure-from-Motion Trajectories
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Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance
