Jiefeng Chen
Jiefeng Chen is a Research Scientist at Google Cloud AI Research, working to build more robust and reliable Large Language Models (LLMs) for real-world applications. For complete list of publications and latest updates, please check out his primary homepage or visit his Google Scholar page.
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ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Somesh Jha
Transactions on Machine Learning Research (TMLR) (2024)
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Somesh Jha
Findings of the Association for Computational Linguistics: EMNLP (2023)
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Timothy Nguyen
Dilan Gorur
Arslan Chaudhry
International Conference on Learning Representations (ICLR) (2023)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Frederick Liu
Besim Namik Avci
Yingyu Liang
Somesh Jha
Neural Information Processing Systems (NeurIPS) (2021)
