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Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

L. Liu, X. Li, M. Thakkar, X. Li, S. Joty, L. Si, and L. Bing. ACL (1), page 4799-4816. Association for Computational Linguistics, (2023)

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a real estate skip tracer I'm Shafiq

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SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages.P. Laban, J. Vig, W. Kryscinski, S. Joty, C. Xiong, and C. Wu. ACL (1), page 10674-10695. Association for Computational Linguistics, (2023)CQAVis: Visual Text Analytics for Community Question AnsweringE. Hoque, S. Joty, L. Marquez, and G. Carenini. Proceedings of the 22Nd International Conference on Intelligent User Interfaces, page 161--172. New York, NY, USA, ACM, (2017)Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.Z. Shi, Y. Ming, X. Nguyen, Y. Liang, and S. Joty. CoRR, (2024)Direct Judgement Preference Optimization.P. Wang, A. Xu, Y. Zhou, C. Xiong, and S. Joty. CoRR, (2024)Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.A. Gotmare, J. Li, S. Joty, and S. Hoi. ESEC/SIGSOFT FSE, page 388-400. ACM, (2023)Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.Y. Liu, A. Fabbri, J. Chen, Y. Zhao, S. Han, S. Joty, P. Liu, D. Radev, C. Wu, and A. Cohan. CoRR, (2023)DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.W. Zhao, Y. Liu, T. Niu, Y. Wan, P. Yu, S. Joty, Y. Zhou, and S. Yavuz. CoRR, (2023)Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.Y. Liu, A. Fabbri, J. Chen, Y. Zhao, S. Han, S. Joty, P. Liu, D. Radev, C. Wu, and A. Cohan. NAACL-HLT (Findings), page 4481-4501. Association for Computational Linguistics, (2024)SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning.M. Bari, A. Zhang, S. Zheng, X. Shi, Y. Zhu, S. Joty, and M. Li. CoRR, (2022)ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning.A. Masry, M. Shahmohammadi, M. Parvez, E. Hoque, and S. Joty. ACL (Findings), page 10387-10409. Association for Computational Linguistics, (2024)

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Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

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a real estate skip tracer I'm Shafiq

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

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a real estate skip tracer I'm Shafiq

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Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.