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Survey reviews 62 code LLMs, identifies key challenges in evaluation and security

By PulseAugur Editorial · [1 sources] ·

A recent survey titled "A Survey on Large Language Models for Software Engineering" has analyzed 62 code LLMs and 947 related studies. The review identifies significant challenges in the evaluation, security, reliability, and reproducibility of these models. The findings underscore the need for more robust methodologies in assessing the capabilities of LLMs in software engineering tasks. AI

IMPACT Highlights critical areas for improvement in LLM development and deployment for software engineering tasks.

RANK_REASON The cluster is about a survey paper analyzing LLMs for software engineering. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey reviews 62 code LLMs, identifies key challenges in evaluation and security

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12 / 100
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The cluster is about a survey paper analyzing LLMs for software engineering. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    "A Survey on Large Language Models for Software Engineering" reviews 62 code LLMs and 947 studies across 112 tasks, highlighting challenges in evaluation, secur

    "A Survey on Large Language Models for Software Engineering" reviews 62 code LLMs and 947 studies across 112 tasks, highlighting challenges in evaluation, security, reliability, and reproducibility. # LLM # SoftwareEngineering # AI https:// arxiv.org/pdf/2312.15223

    LINKS arxiv.org/…/2312.15223

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