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Matryoshka Representation Learning., , , , , , , , , and 1 other author(s). NeurIPS, (2022)Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization., , , , , and . CoRR, (2024)Effective Backdoor Mitigation Depends on the Pre-training Objective., , , , , , , and . CoRR, (2023)An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models., , , , , , , , , and 2 other author(s). ACL (Findings), page 6549-6560. Association for Computational Linguistics, (2024)RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar., , , , , , , , and . MobiCom, page 106:1-106:3. ACM, (2023)Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models., , , and . IJCNN, page 1-8. IEEE, (2021)High Resolution Point Clouds from mmWave Radar., , , , , , , , and . ICRA, page 4135-4142. IEEE, (2023)Deep Submodular Peripteral Networks., , and . CoRR, (2024)How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?, , , and . ACL (student), page 244-254. Association for Computational Linguistics, (2020)Accelerating Batch Active Learning Using Continual Learning Techniques., , , , , and . Trans. Mach. Learn. Res., (2023)