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href="/search/cs?searchtype=author&query=Brett%2C+J">Jeanne Brett</a>, <a href="/search/cs?searchtype=author&query=Zhan%2C+X">Xuhui Zhan</a>, <a href="/search/cs?searchtype=author&query=Han%2C+N">Ningyu Han</a>, <a href="/search/cs?searchtype=author&query=Kannan%2C+S">Sriram Kannan</a>, <a href="/search/cs?searchtype=author&query=Ma%2C+Y">Yingxiang Ma</a>, <a href="/search/cs?searchtype=author&query=Spencer-Smith%2C+J">Jesse Spencer-Smith</a>, <a href="/search/cs?searchtype=author&query=J%C3%A4ckel%2C+E">Elisabeth J盲ckel</a>, <a href="/search/cs?searchtype=author&query=Zerres%2C+A">Alfred Zerres</a>, <a href="/search/cs?searchtype=author&query=Hooper%2C+M">Madison Hooper</a>, <a href="/search/cs?searchtype=author&query=Babbit%2C+K">Katie Babbit</a>, <a href="/search/cs?searchtype=author&query=Acharya%2C+M">Manish Acharya</a>, <a href="/search/cs?searchtype=author&query=Adair%2C+W">Wendi Adair</a>, <a href="/search/cs?searchtype=author&query=Aslani%2C+S">Soroush Aslani</a>, <a href="/search/cs?searchtype=author&query=Ayka%C3%A7%2C+T">Tayfun Ayka莽</a>, <a href="/search/cs?searchtype=author&query=Bauman%2C+C">Chris Bauman</a>, <a href="/search/cs?searchtype=author&query=Bennett%2C+R">Rebecca Bennett</a>, <a href="/search/cs?searchtype=author&query=Brady%2C+G">Garrett Brady</a>, <a href="/search/cs?searchtype=author&query=Briggs%2C+P">Peggy Briggs</a>, <a href="/search/cs?searchtype=author&query=Dowie%2C+C">Cheryl Dowie</a>, <a href="/search/cs?searchtype=author&query=Eck%2C+C">Chase Eck</a>, <a href="/search/cs?searchtype=author&query=Geiger%2C+I">Igmar Geiger</a>, <a href="/search/cs?searchtype=author&query=Jacob%2C+F">Frank Jacob</a>, <a href="/search/cs?searchtype=author&query=Kern%2C+M">Molly Kern</a> , et al. (33 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2407.21037v1-abstract-short" style="display: inline;"> In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLMs in negotiation transcript analysis by the Vanderbilt AI Negotiation Lab. Starting in September 2022, we applied multiple strategies using LLMs from zero shot learning to fine tuning models to in-context learning). The… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.21037v1-abstract-full').style.display = 'inline'; document.getElementById('2407.21037v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.21037v1-abstract-full" style="display: none;"> In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLMs in negotiation transcript analysis by the Vanderbilt AI Negotiation Lab. Starting in September 2022, we applied multiple strategies using LLMs from zero shot learning to fine tuning models to in-context learning). The final strategy we developed is explained, along with how to access and use the model. This study provides a sense of both the opportunities and roadblocks for the implementation of LLMs in real life applications and offers a model for how LLMs can be applied to coding in other fields. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.21037v1-abstract-full').style.display = 'none'; document.getElementById('2407.21037v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2024. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary">  <div class="column"> <div 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