arXiv:2506.01538v2 Announce Type: cross Abstract: Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low…
arXiv:2505.23807v3 Announce Type: replace-cross Abstract: Pruning has recently been widely adopted to reduce the parameter scale and improve the inference…
arXiv:2506.01551v1 Announce Type: cross Abstract: Building Vision-Language Navigation (VLN) agents which can navigate following natural language instructions is a long-standing…
arXiv:2506.01539v1 Announce Type: cross Abstract: This paper considers the problem of utilizing a large-scale text-to-image diffusion model to tackle the…
arXiv:2505.24649v1 Announce Type: cross Abstract: Large vision-language models have become widely adopted to advance in various domains. However, developing a…
arXiv:2505.06186v3 Announce Type: replace-cross Abstract: Extracting scientific evidence from biomedical studies for clinical research questions (e.g., Does stem cell transplantation…
arXiv:2505.24640v1 Announce Type: cross Abstract: Labor market analysis relies on extracting insights from job advertisements, which provide valuable yet unstructured…
arXiv:2505.22904v2 Announce Type: replace-cross Abstract: The widespread success of foundation models in natural language processing and computer vision has inspired…
arXiv:2505.24671v1 Announce Type: cross Abstract: Large Language Models (LLMs) need to adapt their predictions to diverse cultural contexts to benefit…
