This story was originally published on HackerNoon at: https://hackernoon.com/new-multi-llm-strategy-boosts-accuracy-in-sentiment-analysis. Discover how a new multi-LLM negotiation framework enhances sentiment analysis by using generator-discriminator collaboration to improve accuracy Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #sentiment-analysis, #multi-llm-framework, #ai-and-sentiment-analysis, #llm-negotiations, #in-context-learning, #collaborative-ai-frameworks, #nlp-task-optimization, #hackernoon-top-story, and more. This story was written by: @textmodels. Learn more about this writer by checking @textmodels's about page, and for more stories, please visit hackernoon.com. A multi-LLM negotiation framework for sentiment analysis uses a generator-discriminator model to iteratively refine decisions, overcoming single-turn limitations. This approach improves performance across various benchmarks, including Twitter and movie reviews.