Mapping the Minds of LLMs: A Graph-Based Analysis of ...
May 20, 2025 · The proposed framework not only enables quantitative evaluation of reasoning quality beyond conventional metrics but also provides practical insights for prompt engineering and the …
riving its growth remain understudied. Addressing this gap, we conduct a bibliometric analysis of recent trends in the LLM literature, fo-cusing n changes in 2023 compared to 2018-22. We collect and …
The proposed frame- work enables quantitative evaluation of internal reasoning structure and quality beyond conven- tional metrics and also provides practical in- sights for prompt engineering and …
The 7 best arXiv papers to learn how LLMs work - Deepgram
These papers cover various aspects of LLMs, including their architectures, pre-training methods, scaling properties, few-shot learning capabilities, and applications in tasks like reasoning and transfer learning.
Scalable and Efficient Large-Scale Log Analysis with LLMs: An ...
Nov 17, 2025 · In this paper, we propose a log analytics tool that leverages Large Language Models (LLMs) for log data processing and issue diagnosis, enabling the generation of automated insights …
Graph Reasoning with LLMs (GReaL) | Proceedings of the 30th ...
Aug 24, 2024 · The first part of the tutorial will provide an in-depth discussion of techniques for representing graphs as inputs to LLMs. The second, hands-on, portion will demonstrate these …
(PDF) ArxivBench: Can LLMs Assist Researchers in Conducting ...
Apr 6, 2025 · In this study, we evaluate both proprietary and open-source LLMs on their ability to respond with relevant research papers and accurate links to articles hosted on the arXiv platform, …