Estimate Emotion Probability Vectors Using LLMs: Acknowledgements and References

United Kingdom News News

Estimate Emotion Probability Vectors Using LLMs: Acknowledgements and References
United Kingdom Latest News,United Kingdom Headlines
  • 📰 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].

We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

hackernoon /  🏆 532. in US

United Kingdom Latest News, United Kingdom Headlines

Similar News:You can also read news stories similar to this one that we have collected from other news sources.

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.
Read more »

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.
Read more »

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.
Read more »

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.
Read more »

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.
Read more »

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.
Read more »



Render Time: 2025-04-08 02:03:39