arXiv:2507.01006v2 Announce Type: replace-cross Abstract: We present GLM-4.1V-Thinking, a vision-language model (VLM) designed to advance general-purpose multimodal understanding and reasoning.…
arXiv:2507.01231v1 Announce Type: new Abstract: Earlier this year, Apple ignited controversy by publishing “The Illusion of Thinking,” prompting heated debate…
arXiv:2506.23815v2 Announce Type: replace-cross Abstract: The influence of Artificial Intelligence (AI), and specifically Large Language Models (LLM), on education is…
arXiv:2507.00606v1 Announce Type: cross Abstract: Large language models (LLMs) excel in complex tasks through advanced prompting techniques like Chain-of-Thought (CoT)…
arXiv:2507.00611v1 Announce Type: cross Abstract: Preference-based Reinforcement Learning (PbRL) provides a way to learn high-performance policies in environments where the…
arXiv:2506.23952v2 Announce Type: replace-cross Abstract: AI systems increasingly support human decision-making across domains of professional, skill-based, and personal activity. While…
arXiv:2507.00008v1 Announce Type: new Abstract: Grounding natural language queries in graphical user interfaces (GUIs) poses unique challenges due to the…
arXiv:2506.21599v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have been adopted for next point-of-interest (POI) recommendation tasks. Typical LLM-based…
arXiv:2506.23634v1 Announce Type: cross Abstract: Mixed Boolean-Arithmetic (MBA) obfuscation protects intellectual property by converting programs into forms that are more…
arXiv:2506.23635v1 Announce Type: cross Abstract: Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI) with significant advancements such as OpenAI’s…
