arXiv:2510.04956v2 Announce Type: replace-cross Abstract: Computer-assisted pronunciation training (CAPT) manages to facilitate second-language (L2) learners to practice pronunciation skills by…
arXiv:2510.05862v1 Announce Type: cross Abstract: Long-context models (LCMs) have demonstrated great potential in processing long sequences, facilitating many real-world applications.…
arXiv:2510.05881v1 Announce Type: cross Abstract: We propose the Segmented Full-Song Model (SFS) for symbolic full-song generation. The model accepts a…
arXiv:2510.05016v2 Announce Type: replace-cross Abstract: While task-specific demonstrations show early success in applying large language models (LLMs) to automate some…
arXiv:2510.05106v1 Announce Type: new Abstract: The design of safety-critical agents based on large language models (LLMs) requires more than simple…
arXiv:2510.02610v2 Announce Type: replace-cross Abstract: Existing feature filters rely on statistical pair-wise dependence metrics to model feature-target relationships, but this…
arXiv:2510.04477v1 Announce Type: cross Abstract: Bridging clinical diagnostic reasoning with AI remains a central challenge in medical imaging. We introduce…
arXiv:2510.04484v1 Announce Type: cross Abstract: The ability to control LLMs’ emulated emotional states and personality traits is essential for enabling…
arXiv:2510.03075v2 Announce Type: replace-cross Abstract: Compositional generalization, the ability to generate novel combinations of known concepts, is a key ingredient…
arXiv:2510.03285v1 Announce Type: new Abstract: Recent advances in browser-based LLM agents have shown promise for automating tasks ranging from simple…
