Estimate Emotion Probability Vectors Using LLMs: Acknowledgements and References

France Nouvelles Nouvelles

Estimate Emotion Probability Vectors Using LLMs: Acknowledgements and References
France Dernières Nouvelles,France Actualités
  • 📰 hackernoon
  • ⏱ Reading Time:
  • 6 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 6%
  • Publisher: 51%

This paper shows how LLMs (Large Language Models) [5, 2] may be used to estimate a summary of the emotional state associated with a piece of text.

This paper is available on arxiv under CC 4.0 license. Authors: D.Sinclair, Imense Ltd, and email: [email protected]; W.T.Pye, Warwick University, and email: [email protected]. Table of Links Abstract and Introduction Interrogating the LLM with an Emotion Eliciting Tail Prompt PCA analysis of the Emotion of Amazon reviews Future Work Conclusions Acknowledgments and References 6.

Sinclair, Imense Ltd, and email: [email protected]; W.T.Pye, Warwick University, and email: [email protected].

Nous avons résumé cette actualité afin que vous puissiez la lire rapidement. Si l'actualité vous intéresse, vous pouvez lire le texte intégral ici. Lire la suite:

hackernoon /  🏆 532. in US

France Dernières Nouvelles, France Actualités

Similar News:Vous pouvez également lire des articles d'actualité similaires à celui-ci que nous avons collectés auprès d'autres sources d'information.

Estimate Emotion Probability Vectors: Interrogating the LLM with an Emotion Eliciting Tail PromptEstimate Emotion Probability Vectors: Interrogating the LLM with an Emotion Eliciting Tail PromptThis paper shows how LLMs (Large Language Models) [5, 2] may be used to estimate a summary of the emotional state associated with a piece of text.
Lire la suite »

LLMs vs Leetcode (Part 1 & 2): Understanding Transformers' Solutions to Algorithmic ProblemsLLMs vs Leetcode (Part 1 & 2): Understanding Transformers' Solutions to Algorithmic ProblemsDive deep into the world of Transformer models and algorithmic understanding in neural networks.
Lire la suite »

Cohesity’s Innovative Approach Brings Enterprise Data To LLMsCohesity’s Innovative Approach Brings Enterprise Data To LLMsSteve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
Lire la suite »

Navigation with Large Language Models: LFG: Scoring Subgoals by Polling LLMsNavigation with Large Language Models: LFG: Scoring Subgoals by Polling LLMsIn this paper we study how the “semantic guesswork” produced by language models can be utilized as a guiding heuristic for planning algorithms.
Lire la suite »

After thousands of years, LLMs have become our brain's perfect partner.After thousands of years, LLMs have become our brain's perfect partner.The lonely human brain has found its soulmate in artificial intelligence.
Lire la suite »

Can LLMs have a "dream-like" state to uniquely facilitate creativity?Can LLMs have a "dream-like" state to uniquely facilitate creativity?Explore the intriguing parallels between the hypnagogic state and AI creativity.
Lire la suite »



Render Time: 2025-02-25 11:06:45