Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

1 code implementation • 27 Oct 2023 • Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang

After carefully examining these studies, we designed a taxonomy of pitfalls in LM4Code research and conducted a systematic study to summarize the issues, implications, current solutions, and challenges of different pitfalls for LM4Code systems.

Code Generation

Large Language Models for Software Engineering: A Systematic Literature Review

1 code implementation • 21 Aug 2023 • Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang

Nevertheless, a comprehensive understanding of the application, effects, and possible limitations of LLMs on SE is still in its early stages.

A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents

no code implementations • NAACL 2021 • Ryan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen, Yanjie Zhao, Srinivas Bangalore

Spoken language understanding (SLU) extracts the intended mean- ing from a user utterance and is a critical component of conversational virtual agents.

Spoken Language Understanding

Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP

1 code implementation • WS 2018 • Daniel Pressel, Sagnik Ray Choudhury, Brian Lester, Yanjie Zhao, Matt Barta

We introduce Baseline: a library for reproducible deep learning research and fast model development for NLP.

Language Modelling Machine Translation +3