Papers
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A Human-in/on-the-Loop Framework for Accessible Text Generation
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Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
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Reasoning over mathematical objects: on-policy reward modeling and test time aggregation
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Authority-Level Priors: An Under-Specified Constraint in Hierarchical Predictive Processing
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PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
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MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model
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Quantitative Introspection in Language Models: Tracking Internal States Across Conversation
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I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
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From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
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Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
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Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution
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Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
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Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models
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Secure Linear Alignment of Large Language Models
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Progressive Training for Explainable Citation-Grounded Dialogue: Reducing Hallucination to Zero in English-Hindi LLMs
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GHOST: Fast Category-agnostic Hand-Object Interaction Reconstruction from RGB Videos using Gaussian Splatting
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Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
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Agentic Business Process Management: A Research Manifesto
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Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
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Improving moment tensor solutions under Earth structure uncertainty with simulation-based inference
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An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
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Kernel Single-Index Bandits: Estimation, Inference, and Learning
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Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thought
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Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
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VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
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A conceptual framework for ideology beyond the left and right
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Context Bootstrapped Reinforcement Learning
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Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring
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BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
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Maximum-Entropy Exploration with Future State-Action Visitation Measures
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Teleological Inference in Structural Causal Models via Intentional Interventions
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Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives
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Evaluating 5W3H Structured Prompting for Intent Alignment in Human-AI Interaction
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PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
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Book your room in the Turing Hotel! A symmetric and distributed Turing Test with multiple AIs and humans
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The Global-Local loop: what is missing in bridging the gap between geospatial data from numerous communities?
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Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models
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Ca2+ transient detection and segmentation with the Astronomically motivated algorithm for Background Estimation And Transient Segmentation (Astro-BEATS)
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Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis
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CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
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Foundations of Schrödinger Bridges for Generative Modeling
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Evaluating Game Difficulty in Tetris Block Puzzle
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Regret Bounds for Competitive Resource Allocation with Endogenous Costs
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RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation
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Unleashing the Power of Simplicity: A Minimalist Strategy for State-of-the-Art Fingerprint Enhancement
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AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
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EARTalking: End-to-end GPT-style Autoregressive Talking Head Synthesis with Frame-wise Control
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Hypothesis-Conditioned Query Rewriting for Decision-Useful Retrieval
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Security awareness in LLM agents: the NDAI zone case
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Generalized Hand-Object Pose Estimation with Occlusion Awareness
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