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Papers
Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches
EACL 2026
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
AAAI 2025
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
ACL 2025
Finding-Centric Structuring of Japanese Radiology Reports and Analysis of Performance Gaps for Multiple Facilities
NAACL 2025
AnyDoor: Zero-shot Object-level Image Customization
CVPR 2024
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
ACL 2024
Enenlhet as a case-study to investigate ASR model generalizability for language documentation
NAACL 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
NAACL 2024
Topic Bias in Emotion Classification
EACL 2024
Benchmarking and Analyzing Point Cloud Classification under Corruptions
ICML 2022
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets
EMNLP 2020
Task Agnostic Meta-Learning for Few-Shot Learning
CVPR 2019