InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

11 March 2024

Papers citing "InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models"

6 / 6 papers shown

Title
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 38 0 0 27 Jan 2025
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism DeepSeek-AI Xiao Bi : Xiao Bi Deli Chen Guanting Chen ... Yao Zhao Shangyan Zhou Shunfeng Zhou Qihao Zhu Yuheng Zou LRM ALM 131 298 0 05 Jan 2024
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 163 388 0 02 May 2023
Multi-lingual Evaluation of Code Generation Models Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li Yuchen Tian ... Baishakhi Ray Parminder Bhatia Sudipta Sengupta Dan Roth Bing Xiang ELM 99 117 0 26 Oct 2022
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 189 614 0 20 May 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020