DEV Community

Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

AI Models Match Expert Systems in Word Meaning Detection, with GPT-4 Leading at 82% Accuracy

This is a Plain English Papers summary of a research paper called AI Models Match Expert Systems in Word Meaning Detection, with GPT-4 Leading at 82% Accuracy. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • Study examines word sense disambiguation abilities of large language models
  • Tests ChatGPT, Claude, Gemini, GPT-4, and Llama models
  • Evaluates different prompting strategies for disambiguation tasks
  • Finds LLMs perform well when context is provided but struggle in zero-shot settings
  • GPT-4 achieves best results, approaching specialized WSD systems
  • Introduces a new benchmark for measuring LLM disambiguation abilities

Plain English Explanation

Words often have multiple meanings. Think about "bank" - it could be a financial institution or the side of a river. Humans usually figure out the right meaning from context, but this is challenging for computers.

This paper looks at how well modern AI systems - specifically l...

Click here to read the full summary of this paper

Top comments (0)

Billboard image

Create up to 10 Postgres Databases on Neon's free plan.

If you're starting a new project, Neon has got your databases covered. No credit cards. No trials. No getting in your way.

Try Neon for Free →