Yunda Tsai

Orcid: 0009-0009-5385-4660

Affiliations:
  • National Taiwan University, Taiwan


According to our database1, Yunda Tsai authored at least 28 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification.
CoRR, June, 2025

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation.
CoRR, June, 2025

Generalizing Large Language Model Usability Across Resource-Constrained.
CoRR, May, 2025

Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection.
CoRR, May, 2025

LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Differentiable Good Arm Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Benchmarking Large Language Model Uncertainty for Prompt Optimization.
CoRR, 2024

Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning.
CoRR, 2024

Enhance the Robustness of Text-Centric Multimodal Alignments.
CoRR, 2024

Text-centric Alignment for Multi-Modality Learning.
CoRR, 2024

lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

Towards Optimizing with Large Language Model.
Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Toward More Generalized Malicious URL Detection Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.
CoRR, 2023

PSGText: Stroke-Guided Scene Text Editing with PSP Module.
CoRR, 2023

Towards Optimizing with Large Language Models.
CoRR, 2023

AutoML-GPT: Large Language Model for AutoML.
CoRR, 2023

Differential Good Arm Identification.
CoRR, 2023

2022
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network.
CoRR, 2022

2021
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2016
Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering.
IEEE Trans. Mob. Comput., 2016

IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

2015
Joint Optimization of Clustering and Scheduling for Machine-to-Machine Communications in Cellular Wireless Networks.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

Correlation-aware machine selection for M2M data gathering in cellular networks.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015


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