Terry Yue Zhuo

Orcid: 0000-0002-5760-5188

Affiliations:
  • Monash University, Department of Data Science and AI, Melbourne, Australia
  • University of New South Wales, School of CSE, Australia


According to our database1, Terry Yue Zhuo authored at least 30 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.
IEEE Trans. Software Eng., September, 2024

A First Look at On-device Models in iOS Apps.
ACM Trans. Softw. Eng. Methodol., January, 2024

DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks.
CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR, 2024

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts.
CoRR, 2024

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.
CoRR, 2024

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code.
CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models.
CoRR, 2024

OctoPack: Instruction Tuning Code Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ICE-Score: Instructing Large Language Models to Evaluate Code.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
StarCoder: may the source be with you!
Trans. Mach. Learn. Res., 2023

Fake News Detectors are Biased against Texts Generated by Large Language Models.
CoRR, 2023

Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?
CoRR, 2023

Data Augmentation Approaches for Source Code Models: A Survey.
CoRR, 2023

Large Language Models Are State-of-the-Art Evaluators of Code Generation.
CoRR, 2023

Exploring AI Ethics of ChatGPT: A Diagnostic Analysis.
CoRR, 2023

SantaCoder: don't reach for the stars!
CoRR, 2023

Training-free Lexical Backdoor Attacks on Language Models.
Proceedings of the ACM Web Conference 2023, 2023

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Rethinking Round-Trip Translation for Machine Translation Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Rethinking Round-trip Translation for Automatic Machine Translation Evaluation.
CoRR, 2022

Paraphrasing Techniques for Maritime QA system.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
PyArmadillo: a streamlined linear algebra library for Python.
J. Open Source Softw., 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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