Yuancheng Xu

According to our database1, Yuancheng Xu authored at least 18 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment.
CoRR, 2024

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.
CoRR, 2024

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.
CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.
CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
CoRR, 2024

Benchmarking the Robustness of Image Watermarks.
CoRR, 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.
CoRR, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Weed Detection in Images of Carrot Fields Based on Improved YOLO v4.
Traitement du Signal, 2021

2020
Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images.
ISPRS Int. J. Geo Inf., 2020

Multi-Task Adversarial Attack.
CoRR, 2020

FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features.
CoRR, 2020


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