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arXiv:2505.14411v3 Announce Type: replace Abstract: Existing time series tokenization methods predominantly encode a constant number of samples into individual tokens. This inflexible approach can generate...
arXiv:2505.16324v2 Announce Type: replace Abstract: Autoregressive (AR) image generators offer a language-model-friendly approach to image generation by predicting discrete image tokens in a causal sequence....
arXiv:2505.16512v5 Announce Type: replace Abstract: In recent years, the explosive advancement of deepfake technology has posed a critical and escalating threat to public security: diffusion-based...
arXiv:2505.17461v2 Announce Type: replace Abstract: Large-scale Vision-Language Models (LVLMs) are being deployed in real-world settings that require visual inference. As capabilities improve, applications in navigation,...
arXiv:2505.17536v3 Announce Type: replace Abstract: While multimodal large language models (LLMs) excel at dialogue, whether they can adequately parse the structure of conversation -- conversational...
arXiv:2505.19847v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) improves factuality by grounding LLMs in external knowledge, yet conventional centralized RAG requires aggregating distributed data, raising...
arXiv:2505.20445v5 Announce Type: replace Abstract: With approximately 7,000 languages spoken worldwide, current large language models (LLMs) support only a small subset. Prior research indicates LLMs...
arXiv:2505.20503v2 Announce Type: replace Abstract: Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action Models, have opened...
arXiv:2505.22147v2 Announce Type: replace Abstract: Decision making is a central problem in AI that can be formalized using a Markov Decision Process. A problem is...
arXiv:2505.22831v2 Announce Type: replace Abstract: Web-based activities span multiple webpages. However, conventional browsers with stacks of tabs cannot support operating and synthesizing large volumes of...
arXiv:2506.01091v2 Announce Type: replace Abstract: Visual effects (VFX) are key to immersion in modern films, games, and AR/VR. Creating 3D effects requires specialized expertise and...
arXiv:2506.01195v3 Announce Type: replace Abstract: Language is often used strategically, particularly in high-stakes, adversarial settings, yet most work on pragmatics and LLMs centers on cooperativity....
arXiv:2506.03996v3 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) have emerged as a new generation of energy-efficient neural networks suitable for implementation on neuromorphic hardware....
arXiv:2506.04207v2 Announce Type: replace Abstract: Inspired by the remarkable reasoning capabilities of Deepseek-R1 in complex textual tasks, many works attempt to incentivize similar capabilities in...
arXiv:2506.05301v2 Announce Type: replace Abstract: Recent advances in diffusion-based video restoration (VR) demonstrate significant improvement in visual quality, yet yield a prohibitive computational cost during...
arXiv:2506.06052v3 Announce Type: replace Abstract: Discrete Combinatorial Problems (DCPs) are prevalent in industrial decision-making and optimisation. However, while constraint solving technologies for DCPs have advanced...
arXiv:2506.07972v2 Announce Type: replace Abstract: While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current evaluation methodologies fail to adequately...
arXiv:2506.08477v2 Announce Type: replace Abstract: Detecting harmful memes is crucial for safeguarding the integrity and harmony of online environments, yet existing detection methods are often...
arXiv:2506.09630v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used for synthetic tabular data generation through in-context learning (ICL), offering a practical solution...
arXiv:2506.10912v3 Announce Type: replace Abstract: Toxicity remains a leading cause of early-stage drug development failure. Despite advances in molecular design and property prediction, the task...
arXiv:2506.11136v3 Announce Type: replace Abstract: Foundation Vision Encoders have become essential for a wide range of dense vision tasks. However, their low-resolution spatial feature outputs...
arXiv:2506.11300v2 Announce Type: replace Abstract: Curriculum learning-organizing training data from easy to hard-has improved efficiency across machine learning domains, yet remains underexplored for language model...
arXiv:2506.11558v4 Announce Type: replace Abstract: Large Language Models (LLMs) have recently been extended to the video domain, enabling sophisticated video-language understanding. However, existing Video LLMs...
arXiv:2506.11743v2 Announce Type: replace Abstract: Graph coarsening aims to diminish the size of a graph to lighten its memory footprint, and has numerous applications in...