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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)

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a real estate skip tracer I'm Shafiq

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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)ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning.A. Masry, M. Shahmohammadi, M. Parvez, E. Hoque, and S. Joty. CoRR, (2024)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. CoRR, (2023)Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.K. Huang, P. Laban, A. Fabbri, P. Choubey, S. Joty, C. Xiong, and C. Wu. CoRR, (2023)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)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)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)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)Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.B. Ding, C. Qin, R. Zhao, T. Luo, X. Li, G. Chen, W. Xia, J. Hu, A. Luu, and S. Joty. CoRR, (2024)

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Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

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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 Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

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a real estate skip tracer I'm Shafiq

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Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.