activity
20232026
most citedCWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation

3 citations · 10 across the 8 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CL2024★ 3 cited

A Survey of Useful LLM Evaluation

Ji-Lun Peng, Sijia Cheng, Egil Diau +4

LLMs have gotten attention across various research domains due to their exceptional performance on a wide range of complex tasks. Therefore, refined methods to evaluate the capabil…

cs.CL2024★ 2 cited

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Yangruibo Ding, Jinjun Peng, Marcus J. Min +3

Code Large Language Models (Code LLMs) have excelled at tasks like code completion but often miss deeper semantics such as execution effects and dynamic states. This paper aims to…