arXiv:2509.14008v1 Announce Type: cross Abstract: We present Hala, a family of Arabic-centric instruction and translation models built with our translate-and-tune pipeline. We first compress a strong AR$leftrightarrow$EN teacher to FP8 (yielding $sim$2$times$ higher throughput with no quality loss) and use…
arXiv:2509.13547v1 Announce Type: new Abstract: We investigate whether giving LLM agents the collaborative tools and autonomy that humans naturally use for problem solving can improve their performance. We equip Claude Code agents with MCP-based social media and journaling tools and…
arXiv:2509.14093v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) reasoning enhances Large Language Models (LLMs) by prompting intermediate steps, improving accuracy and robustness in arithmetic, logic, and commonsense tasks. However, this benefit comes with high computational costs: longer outputs increase latency, memory…
arXiv:2509.13570v1 Announce Type: new Abstract: With the rapid rise of generative AI in higher education and the unreliability of current AI detection tools, developing policies that encourage student learning and critical thinking has become increasingly important. This study examines student…
arXiv:2509.14233v1 Announce Type: cross Abstract: We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today’s open model ecosystem: data compliance and multilingual representation. Unlike many prior models that release weights…
arXiv:2509.13588v1 Announce Type: new Abstract: This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent behaviors through implicit natural language descriptions cannot yield consistent behaviors across…
arXiv:2508.19505v2 Announce Type: replace Abstract: Sophisticated instrumentation for AI systems might have indicators that signal misalignment from human values, not unlike a “check engine” light in cars. One such indicator of misalignment is deceptiveness in generated responses. Future AI instrumentation…
arXiv:2509.13615v1 Announce Type: new Abstract: The advent of multimodal agents facilitates effective interaction within graphical user interface (GUI), especially in ubiquitous GUI control. However, their inability to reliably execute toggle control instructions remains a key bottleneck. To investigate this, we…
arXiv:2406.16013v2 Announce Type: replace-cross Abstract: Information retrieval models that aim to search for documents relevant to a query have shown multiple successes, which have been applied to diverse tasks. Yet, the query from the user is oftentimes short, which challenges…
arXiv:2509.13704v1 Announce Type: new Abstract: Mission-critical industrial infrastructure, such as data centers, increasingly depends on complex management software. Its operations, however, pose significant challenges due to the escalating system complexity, multi-vendor integration, and a shortage of expert operators. While Robotic…
