Domain Adaptation

Domain adaptation aims to turn a general-purpose large language model (LLM) into an expert for a target domain. While the dominant SFT+RL pipeline offers a convenient cold start, it may reduce exploration diversity and i…

Domain Adaptation

Weather-Aware Domain Adaptation for Street-View Weather Recognition

2026-10-01 · Hossein Maghsoumi, George Atia, Yaser P. Fallah arxiv

Adverse conditions such as rain, snow, fog, and dust remain challenging for camera-based perception in autonomous driving. We study multi-class weather recognition from street-view images under domain shift, where most a…

Autonomous Driving Domain Adaptation

Mapping the RAG Landscape: A Four Axis Taxonomy of Efficiency, Defense, Interactivity, and Reasoning

2026-10-01 · Meghana Sunil, Shravya V, Shravan Venkatraman, Joe Dhanith PR arxiv

Large Language Models (LLMs) have demonstrated remarkable fluency across many tasks but remain limited by their static, parameter bound knowledge and their susceptibility to hallucinating information. Retrieval Augmented…

Reinforcement Learning Domain Adaptation

See it, Say it, Sorted: Mechanistic Diagnosis and Parameter-Space Mitigation of Emergent Misalignment in LLMs

2026-09-28 · Weiqiao Que, Ruizhe Li, Chengyu Wang, Dakan Wang 외 hf

Safety-aligned LLMs can exhibit emergent misalignment (EM): narrow domain adaptation unexpectedly triggers catastrophic safety failures across unrelated domains. Prior static analyses leave training dynamics unmapped, wh…

Domain Adaptation

Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

2026-09-15 · Aniketh Vijesh, Shrisharanyan Vasu, Abhijit Ramesh, Clare Pomeroy-Ward 외 arxiv

Congenital heart disease (CHD) diagnosis and surgical planning often require patient-specific 3D anatomical models, but manual segmentation is labor-intensive, particularly in complex anatomies. Although deep-learning me…

Domain Adaptation

AVSRBench: A Multi-Condition AVSR Benchmark

2026-09-09 · Rishabh Jain, Naomi Harte arxiv

While AVSR has achieved sub-1% word error rates on the standard LRS3 benchmark, its reliance on broadcast speech obscures whether this reflects true generalization or just domain adaptation. To investigate this gap, we e…

Domain Generalization Domain Adaptation

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