arXiv:2506.21222v1 Announce Type: new Abstract: Automatic Term Extraction (ATE) identifies domain-specific expressions that are crucial for downstream tasks such as...

arXiv:2506.20876v1 Announce Type: new Abstract: Technological progress has led to concrete advancements in tasks that were regarded as challenging, such...

arXiv:2505.00753v4 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous...

arXiv:2505.11277v3 Announce Type: replace Abstract: Large language models have demonstrated impressive reasoning capabilities but are inherently limited by their knowledge...

arXiv:2506.19750v2 Announce Type: replace Abstract: Symptom Checkers (SCs) provide users with personalized medical information. To prevent performance degradation from algorithm...

arXiv:2506.20430v1 Announce Type: new Abstract: Rare diseases collectively affect over 300 million individuals worldwide, yet timely and accurate diagnosis remains...

arXiv:2506.19998v1 Announce Type: new Abstract: REST APIs play important roles in enriching the action space of web agents, yet most...

arXiv:2403.08059v3 Announce Type: replace-cross Abstract: Language promptable X-ray image segmentation would enable greater flexibility for human-in-the-loop workflows in diagnostic and...

arXiv:2506.20073v1 Announce Type: new Abstract: Spatio-temporal data mining plays a pivotal role in informed decision making across diverse domains. However,...