Summary of An Application Of Large Language Models to Coding Negotiation Transcripts, by Ray Friedman et al.

An Application of Large Language Models to Coding Negotiation Transcripts

by Ray Friedman, Jaewoo Cho, Jeanne Brett, Xuhui Zhan, Ningyu Han, Sriram Kannan, Yingxiang Ma, Jesse Spencer-Smith, Elisabeth Jäckel, Alfred Zerres, Madison Hooper, Katie Babbit, Manish Acharya, Wendi Adair, Soroush Aslani, Tayfun Aykaç, Chris Bauman, Rebecca Bennett, Garrett Brady, Peggy Briggs, Cheryl Dowie, Chase Eck, Igmar Geiger, Frank Jacob, Molly Kern, Sujin Lee, Leigh Anne Liu, Wu Liu, Jeffrey Loewenstein, Anne Lytle, Li Ma, Michel Mann, Alexandra Mislin, Tyree Mitchell, Hannah Martensen née Nagler, Amit Nandkeolyar, Mara Olekalns, Elena Paliakova, Jennifer Parlamis, Jason Pierce, Nancy Pierce, Robin Pinkley, Nathalie Prime, Jimena Ramirez-Marin, Kevin Rockmann, William Ross, Zhaleh Semnani-Azad, Juliana Schroeder, Philip Smith, Elena Stimmer, Roderick Swaab, Leigh Thompson, Cathy Tinsley, Ece Tuncel, Laurie Weingart, Robert Wilken, JingJing Yao, Zhi-Xue Zhang

First submitted to arxiv on: 18 Jul 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary The Vanderbilt AI Negotiation Lab applies Large Language Models (LLMs) in negotiation transcript analysis, exploring strategies from zero-shot learning to fine-tuning models. The study provides opportunities and roadblocks for LLM implementation in real-life applications, offering a model for application in other fields like coding.
Low	GrooveSquid.com (original content)	Low Difficulty Summary This paper uses big language models to analyze talks between people trying to agree on something. They tried different ways of using these models, from not teaching them anything new to fine-tuning them for specific tasks. The study shows both the benefits and challenges of using these models in real-life situations and how they can be used in other areas like coding.