大模型推理能力

EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs

Benjamin Kubwimana, Qijing Huang

机构 * NVIDIA 纠错

专题命中 其他推理 ：reasoning(title,abstract)；分类 cs.AI

Comments Published in the Proceedings of the 2025 IEEE International Symposium on Workload Characterization (IISWC 2025)

AutoPDL: Automatic Prompt Optimization for LLM Agents

Claudio Spiess, Mandana Vaziri, Louis Mandel, Martin Hirzel

专题命中 其他推理 ：CoT(abstract)；分类 cs.AI、cs.LG

Comments An earlier version of this paper was published in AutoML 2025 Methods Track. This version adds missing standard deviations in Table 1

Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting

Enhong Mu, Jinyu Cai, Yijun Lu, Mingyue Zhang, Kenji Tei, Jialong Li

机构 * Southwest University（西南大学） ； Waseda University（早稻田大学） ； Institute of Science Tokyo（东京科学研究院） 纠错

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

A Unified Representation Underlying the Judgment of Large Language Models

Yi-Long Lu, Jiajun Song, Wei Wang

机构 * State Key Laboratory of General Artificial Intelligence（人工智能通用技术国家重点实验室） ； BIGAI 纠错

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Revisiting put-that-there, context aware window interactions via LLMs

Riccardo Bovo, Daniele Giunchi, Pasquale Cascarano, Eric J. Gonzalez, Mar Gonzalez-Franco

专题命中 其他推理 ：reasoning(abstract)