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Understanding LLM User Experience & Expectation
Understanding LLM User Experience & Expectation
This study surfaces valuable insights into the frequency of LLM use together with user intents, expectations and experience.

Meta Taxonomy Of LLM Correction & Refinement
A number of LLM techniques and classes of implementation are emerging, a recent study created a meta taxonomy of approaches and techniques on how to improve and correct LLM output.

Considering Large Language Model Reasoning Step Length
When using Chain of Thought, what is the optimal number of steps to use?

Chain Of Natural Language Inference (CoNLI)
Hallucination is categorised into subcategories of Context-Free Hallucination, Ungrounded Hallucination & Self-Conflicting Hallucination.
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