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Jessica Nayeli López Espejel

2 papers hereh-index 2148 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedGPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts

26 citations · 48 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2023★ 22 cited

A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text

Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, El Mehdi Chouham +2

Java Code Generation consists in generating automatically Java code from a Natural Language Text. This NLP task helps in increasing programmers' productivity by providing them with…

cs.CL2023★ 26 cited

GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts

Jessica López Espejel, El Hassane Ettifouri, Mahaman Sanoussi Yahaya Alassan +2

Large Language Models (LLMs) have exhibited remarkable performance on various Natural Language Processing (NLP) tasks. However, there is a current hot debate regarding their reason…

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