arXiv
Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity
Ultrasound tongue contour segmentation remains challenging under cross-dataset domain shift, where limited annotation...
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arXiv
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand indi...
arXiv
Traceable Trust for action-ready artificial intelligence in bioscience
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict...
arXiv
Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of L...
arXiv
Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, c...
arXiv
Why GPT-Style Models Do Not Directly Transfer to Symbolic Music: Compression in the Wrong Coordinate System
GPT-style models achieve strong performance by representing language with finite vocabularies of reusable discrete to...
arXiv
Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel deve...
arXiv
StagedWorkspace: A Versioned Workspace for Knowledge-Work Agents
AI agents increasingly perform knowledge work (i.e., produce and modify persistent digital artifacts such as code rep...
arXiv
HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance
Urban traffic congestion reduces productivity and increases travel cost and emissions. Network-wide live travel-time ...
arXiv
Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet thei...
arXiv
On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintain...
arXiv
From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet c...