Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
CoRR, 2024
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning.
CoRR, 2024
Lifelong Event Detection with Embedding Space Separation and Compaction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Language Models as Science Tutors.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Improving In-context Learning via Bidirectional Alignment.
CoRR, 2023
Online Nonstochastic Model-Free Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Online Learning for Obstacle Avoidance.
Proceedings of the Conference on Robot Learning, 2023
Fully Dynamic Inference With Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput., 2022
Adaptive Gradient Methods with Local Guarantees.
CoRR, 2022
Efficient Synthesis of Compact Deep Neural Networks.
CoRR, 2020
INVITED: Efficient Synthesis of Compact Deep Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features.
IEEE Trans. Multim., 2017
Color image quality assessment based on sparse representation and reconstruction residual.
J. Vis. Commun. Image Represent., 2016