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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Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Fei Wang
The Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) (2025) (to appear)
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)
