Showing 21 - 40 results of 424 for search 'LLNM2~', query time: 2.99s Refine Results
  1. 21

    From Llama to language: prompt-engineering allows general-purpose artificial intelligence to rate narratives like expert psychologists by Barry Dauphin, Caleb Siefert

    Published 2025-02-01
    “…Prompts were then improved using an systematic process in which experts worked with Llama-2-70b to refine prompts. The utility of the prompts was then tested on two AI-empowered chatbots, ChatGPT-4 (OpenAI, 2023) and CLAUDE-2-100k, that were not used in the prompt refinement process.ResultsResults showed that the refined prompts allowed chatbots to reliably rate narratives at the global level, though accuracy varied across subscales. …”
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  2. 22

    On Assessing the Performance of LLMs for Target-Level Sentiment Analysis in Financial News Headlines by Iftikhar Muhammad, Marco Rospocher

    Published 2025-01-01
    “…The study contributes to assessing the performance of LLMs for financial sentiment analysis, providing useful insights into their possible application in the financial domain.…”
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    An Efficient Multiparty Threshold ECDSA Protocol against Malicious Adversaries for Blockchain-Based LLMs by Jing Wang, Xue Yuan, Yingjie Xu, Yudi Zhang

    Published 2024-01-01
    “…Large language models (LLMs) have brought significant advancements to artificial intelligence, particularly in understanding and generating human language. …”
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  5. 25

    Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches by Marco Siino, Mariana Falco, Daniele Croce, Paolo Rosso

    Published 2025-01-01
    “…Firstly, it identifies emerging trends in the application of LLMs within the legal domain, highlighting the growing interest and investment in this area. …”
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    Todos los caminos conducen a Rulfo. Itinerarios del cuento mexicano desde el modernismo a El llano en llamas by Andreas Kurz

    Published 2025-01-01
    “…Itinerarios del cuento mexicano desde el modernismo a El llano en llamas (2023)…”
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    Identificación de guanacos y llamas en el registro arqueológico de los Andes centro-sur con técnicas de morfometría geométrica by Anahí Hernández, Pablo Mercolli

    Published 2025-01-01
    “…In Northwestern Argentina (NOA), both wild and domesticated large camelid species—guanaco and llama—have been present in the archaeological record since the early Late Holocene. …”
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    LLM-Guided Crowdsourced Test Report Clustering by Ying Li, Ye Zhong, Lijuan Yang, Yanbo Wang, Penghua Zhu

    Published 2025-01-01
    “…Existing crowdsourced test report clustering methods have significant shortcomings in handling duplicate reports, ignoring the semantic information of screenshots, and underutilizing the relationship between text and images. The emergence of LLM provides a new way to solve these problems. …”
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    García Gutiérrez, R.(ed.) (2023). "Todos los caminos conducen a Rulfo. Itinerarios del cuento mexicano desde el modernismo" a El Llano en llamas. Berlín: Peter Lang. by Ignacio Ballester Pardo

    Published 2025-01-01
    “…Itinerarios del cuento mexicano desde el modernismo a El Llano en llamas. Berlín: Peter Lang, 2023, 591 pp, ISBN: 9783631899915.…”
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    LLM-driven multimodal target volume contouring in radiation oncology by Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye

    Published 2024-10-01
    “…Inspired by the recent advancement of large language models (LLMs) that can facilitate the integration of the textural information and images, here we present an LLM-driven multimodal artificial intelligence (AI), namely LLMSeg, that utilizes the clinical information and is applicable to the challenging task of 3-dimensional context-aware target volume delineation for radiation oncology. …”
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  20. 40

    Exploring the potential of LLM to enhance teaching plans through teaching simulation by Bihao Hu, Jiayi Zhu, Yiying Pei, Xiaoqing Gu

    Published 2025-02-01
    “…Taking high school mathematics as an example, we propose a method that utilizes LLMs to enhance the quality of teaching plans through guiding the LLM to simulate teacher-student interactions, generate teaching reflections, and subsequently direct the LLM to refine the teaching plan by integrating these teaching process and reflections. …”
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