Sentiment Analysis through LLM Negotiations: Conclusion and References

Table of Links

• Abstract and Introduction
• Related Work
• LLM Negotiation for Sentiment Analysis
• Experiments
• Ablation Studies
• Conclusion and References

6 Conclusion

In this paper, we investigate the limitations of singular LLM-based sentiment analysis methods and introduce a novel role-flipping multi-LLM negotiation method to enhance both the accuracy and interpretability of sentiment categorizations. Empirical findings on multiple benchmarks show the superiority of our approach compared to traditional ICL and many supervised methods. Future work could explore optimizing the framework for speed and resource consumption, adapting the underlying principles to other NLP tasks, and designing explicit negotiation modules that identify and mitigate the impact of biases and decoding errors present in individual LLMs.

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