Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellm…
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Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space…
Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitiv…
Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble
A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
What a Random Draw from the MCP Registry Contains, and What Tool-Use Benchmarks Contain I…
Predicting Train Delays in Finland Using Machine Learning and Weather Data
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
Language-Augmented Semantic Priors for B-Spline Surface Fitting
Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advanc…
AI Soccer Analyst: Stage-Aware and Verifiable Human-AI Collaboration for Soccer Data Anal…
How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LL…
Domain-Specific Hallucination Detection in Large Language Models
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and So…
Generative Replay Mitigates Sample Starvation in Quantum Architecture Search
On the Regularization Landscape for the Linear Recommendation Models
ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps
A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and…
Can LLMs Follow Medical Expert Logic? A Benchmark for Hierarchical Logical Consistency in…
Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer
Towards a Deterministic Math Solver for Clinical Language Models
Can Edge-Deployable Vision-Language Models Identify Species?
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinici…
EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale
Demystifying the Privacy-Utility Trade-off in LLM Interactions
Extending SMT Solving with Non-Ground Clause Learning
Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
From Evaluation to Enhancement: Benchmarking and Improving Think-with-Video Reasoning for…