MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes
arXiv:2609.10016v1 Announce Type: cross Abstract: We introduce MetroLLM-Bench, a 955-case benchmark for testing language models as the policy layer of…
by ODEFTO AI Labs
arXiv:2609.10016v1 Announce Type: cross Abstract: We introduce MetroLLM-Bench, a 955-case benchmark for testing language models as the policy layer of…
arXiv:2609.08038v2 Announce Type: replace-cross Abstract: Smart healthcare monitoring systems require precise action recognition to ensure well-being and timely intervention in…
arXiv:2609.10018v1 Announce Type: cross Abstract: EdgeAI systems are increasingly employing computer vision applications to enable intelligent, on-device decision-making in real-time.…
arXiv:2609.08977v2 Announce Type: replace-cross Abstract: In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction,…
arXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs—generated code, hypotheses, or papers—yet discard…
arXiv:2609.05258v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to formulate optimization models from natural-language problem descriptions,…
arXiv:2609.07795v1 Announce Type: cross Abstract: Short-form video platforms use recommender systems to maximize engagement through highly efficient personalized recommendations. However,…
arXiv:2609.07798v1 Announce Type: cross Abstract: Natural Language Processing (NLP) in the climate domain requires models to process heterogeneous text sources,…
arXiv:2609.04947v2 Announce Type: replace-cross Abstract: Recently, multimodal large-scale reasoning models have demonstrated remarkable capabilities in solving complex tasks through long…