论文精选 85arXiv

IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations· IRWOZ 2.0：面向工业机器人的对话数据集

IRWOZ has improved industrial human-robot interaction (HRI) dialogue systems through domain-specific annotations. However, its initial version contains substantial noise in dialogue states and utterances, limiting state-tracking accuracy. We introduce IRWOZ 2.0, which addresses these limitations through large language model (LLM) enhanced generation (Mistral/Claude-3.5) and quality refinements. Our improved dataset expands to 390 dialogues across 4 industrial domains (Assembly, Delivery, Position, Relocation), featuring manual corrections and automated typo removal. Benchmark experiments on dialogue state tracking demonstrate significant improvements, with GPT-2's BLEU-4 score increasing from 0.1651 to 0.5604 compared to original IRWOZ. To support industrial HRI research, we publicly relea

领域：cs.AI作者：Chen Li、Dimitrios Chrysostomou

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📎 发布于 09-04 00:08🔗 阅读原文（arxiv.org）📄 PDF

A Deep Generative Model for Synthesizing Labeled Wireless Signals· 用于合成带标签无线信号的深度生成模型

Wireless signals with position-related labels are pivotal for both performance evaluation …

领域：cs.AI作者：Yuxiao Li、Keke Hu、Santiago Mazuelas

📎 arXiv🕒 09-05 01:44🔗 arxiv.org

论文精选 60已解读

Multi-Step Tool-Calling over Korean Open Public APIs: A Benchmark and a Data-Synthesis Recipe· 韩国开放公共API的多步调用基准

Data-sovereignty regulations increasingly require public institutions to deploy open-sourc…

领域：cs.AI作者：Dain Kim、Eungi Cho、Kyumin Kim

📎 arXiv🕒 09-05 01:44🔗 arxiv.org

论文精选 60已解读

Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence· 必要还是充分？用行为证据评估LLM解释

LLM decision components that can operate within agent workflows often produce action-relev…

领域：cs.AI作者：Urja Pawar、Rajitha Ramanayake、Nabeel Kemal

📎 arXiv🕒 09-05 01:37🔗 arxiv.org

论文精选 60已解读

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models· 分子属性预测中的大模型文字级检索

Large language models (LLMs) are increasingly evaluated on molecular property benchmarks, …

领域：cs.AI作者：Matthias Busch、Marius Tacke、Sviatlana V. Lamaka

📎 arXiv🕒 09-05 01:32🔗 arxiv.org

论文精选 60已解读

CUA-Universe: A Scalable and Dynamic Environment for Hybrid GUI+CLI Agents· CUA-Universe: GUI+CLI 混合代理的可扩展动态环境

Computer-use agents have advanced on benchmarks like OSWorld and AndroidWorld, but still a…

领域：cs.AI作者：Haoting Shi、Wenhao Wang、Weicheng Fang

📎 arXiv🕒 09-05 01:26🔗 arxiv.org

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