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From misuse to mastery: Enhancing code generation with knowledge-driven ai chaining
Large Language Models (LLMs) have shown promising results in automatic code
generation by improving coding efficiency to a certain extent. However, generating high …
generation by improving coding efficiency to a certain extent. However, generating high …
An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs
Large language models (LLMs) have shown strong arithmetic reasoning capabilities when
prompted with Chain-of-Thought (CoT) prompts. However, we have only a limited …
prompted with Chain-of-Thought (CoT) prompts. However, we have only a limited …
[PDF][PDF] IntelliExplain: Enhancing Interactive Code Generation through Natural Language Explanations for Non-Professional Programmers
arxiv:2405.10250v1 [cs.HC] 16 May 2024 Page 1 IntelliExplain: Enhancing Interactive Code
Generation through Natural Language Explanations for Non-Professional Programmers Hao …
Generation through Natural Language Explanations for Non-Professional Programmers Hao …
Can large language models understand uncommon meanings of common words?
Large language models (LLMs) like ChatGPT have shown significant advancements across
diverse natural language understanding (NLU) tasks, including intelligent dialogue and …
diverse natural language understanding (NLU) tasks, including intelligent dialogue and …
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing
Explaining the decisions of AI has become vital for fostering appropriate user trust in these
systems. This paper investigates explanations for a structured prediction task called``text-to …
systems. This paper investigates explanations for a structured prediction task called``text-to …