Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
arXiv:2601.19674v2 Announce Type: replace-cross Abstract: Ambitious decarbonisation targets are rapidly increasing the commission of new offshore wind farms. For these…
Cross-Stage Coherence in Hierarchical Driving VQA: Explicit Baselines and Learned Gated Context Projectors
arXiv:2604.22560v1 Announce Type: cross Abstract: Graph Visual Question Answering (GVQA) for autonomous driving organizes reasoning into ordered stages, namely Perception,…
Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
arXiv:2604.22067v1 Announce Type: cross Abstract: Psychiatric intake is a sequential, high-stakes information-gathering process in which clinicians must decide what to…
EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
arXiv:2604.20133v2 Announce Type: replace Abstract: This paper proposes EvoAgent – an evolvable large language model (LLM) agent framework that integrates…
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair
arXiv:2604.22407v1 Announce Type: cross Abstract: Many continual-learning methods modify gradients upstream (e.g., projection, penalty rescaling, replay mixing) while treating Adam…
Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
arXiv:2604.20726v2 Announce Type: replace-cross Abstract: This work explores the role of prompt design and judge selection in LLM-as-a-Judge evaluations of…
RealRoute: Dynamic Query Routing System via Retrieve-then-Verify Paradigm
arXiv:2604.20860v1 Announce Type: cross Abstract: Despite the success of Retrieval-Augmented Generation (RAG) in grounding LLMs with external knowledge, its application…
ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
arXiv:2509.24239v4 Announce Type: replace-cross Abstract: Recent large language models (LLMs) have shown strong reasoning capabilities. However, a critical question remains:…
