Ziyu Yao

Orcid: 0009-0007-4571-3505

Affiliations:
  • George Mason University, Department of Computer Science, Fairfax, VA, USA
  • Ohio State University, Columbus, OH, USA (PhD 2021)


According to our database1, Ziyu Yao authored at least 58 papers between 2016 and 2025.

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Bibliography

2025
Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones.
CoRR, July, 2025

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation.
CoRR, June, 2025

Reassessing Code Authorship Attribution in the Era of Language Models.
CoRR, June, 2025

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models.
CoRR, May, 2025

Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction.
CoRR, April, 2025

Can LLMs Simulate Personas with Reversed Performance? A Benchmark for Counterfactual Instruction Following.
CoRR, April, 2025

AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning.
CoRR, March, 2025

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.
CoRR, March, 2025

Beneath the Surface: How Large Language Models Reflect Hidden Bias.
CoRR, February, 2025

Mechanistic Understanding of Language Models in Syntactic Code Completion.
CoRR, February, 2025

A Survey on Large Language Models for Automated Planning.
CoRR, February, 2025

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Evaluating Vision-Language Models as Evaluators in Path Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Welcome to AI Matters 10(4).
AI Matters, December, 2024

Welcome to AI Matters 10(3).
AI Matters, September, 2024

Welcome to AI Matters 10(2).
AI Matters, June, 2024

Welcome to AI Matters 10(1).
AI Matters, March, 2024

Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing.
CoRR, 2024

A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models.
CoRR, 2024

IntelliExplain: Enhancing Interactive Code Generation through Natural Language Explanations for Non-Professional Programmers.
CoRR, 2024

MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education.
CoRR, 2024

Lens: A Foundation Model for Network Traffic in Cybersecurity.
CoRR, 2024

Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Look Further Ahead: Testing the Limits of GPT-4 in Path Planning.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Welcome to AI Matters 9(3).
AI Matters, September, 2023

SIGAI Annual Report: July 1 2022 - August 30 2023.
AI Matters, September, 2023

Welcome to AI Matters 9(2).
AI Matters, June, 2023

Welcome to AI Matters 9(1).
AI Matters, March, 2023

Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning.
CoRR, 2023

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning.
CoRR, 2023

Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance.
CoRR, 2023

Gentopia: A Collaborative Platform for Tool-Augmented LLMs.
CoRR, 2023

Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MailEx: Email Event and Argument Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Welcome to AI matters 8(4).
AI Matters, December, 2022

Welcome to AI matters 8(3).
AI Matters, September, 2022

SIGAI Annual Report: July 1 2021 - June 30 2022.
AI Matters, September, 2022

Welcome to AI matters 8(2).
AI Matters, 2022

Welcome to AI matters 8(1).
AI Matters, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Synthetic Question Value Estimation for Domain Adaptation of Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Learning Structural Edits via Incremental Tree Transformations.
Proceedings of the 9th International Conference on Learning Representations, 2021

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
An Imitation Game for Learning Semantic Parsers from User Interaction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforced Dynamic Reasoning for Conversational Question Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2016
Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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