For An Exciting Tomorrow
arXiv:2511.14567v2 Announce Type: replace-cross Abstract: Accessing 3D models remains challenging for Screen Reader (SR) users. While some existing 3D viewers…
arXiv:2511.15447v1 Announce Type: cross Abstract: This paper introduces a classification method using in-context learning in time-series foundation models (TSFM). We…
arXiv:2511.13442v2 Announce Type: replace-cross Abstract: With the rapid advancement of artificial intelligence-generated content (AIGC) technologies, including multimodal large language models…
arXiv:2511.14456v1 Announce Type: cross Abstract: Federated learning (FL) is a new paradigm for training machine learning (ML) models without sharing…
arXiv:2511.14461v1 Announce Type: cross Abstract: Using multiple carousels, lists that wrap around and can be scrolled, is the basis for…
arXiv:2511.13625v2 Announce Type: replace-cross Abstract: Bayesian optimization (BO) efficiently finds high-performing parameters by maximizing an acquisition function, which models the…
arXiv:2511.13782v1 Announce Type: new Abstract: Large language models (LLMs) and vision language models (VLMs), such as DeepSeek R1,OpenAI o3, and…
arXiv:2511.10222v2 Announce Type: replace-cross Abstract: Recent progress in large language models (LLMs) has enabled understanding of both speech and non-speech…