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SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages., , , , , и . ACL (1), стр. 10674-10695. Association for Computational Linguistics, (2023)CQAVis: Visual Text Analytics for Community Question Answering, , , и . Proceedings of the 22Nd International Conference on Intelligent User Interfaces, стр. 161--172. New York, NY, USA, ACM, (2017)DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text., , , , , , , и . CoRR, (2023)Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models., , , и . ESEC/SIGSOFT FSE, стр. 388-400. ACM, (2023)Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization., , , , , , , , , и . CoRR, (2023)Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization., , , , , , , , , и . NAACL-HLT (Findings), стр. 4481-4501. Association for Computational Linguistics, (2024)ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning., , , , и . ACL (Findings), стр. 10387-10409. Association for Computational Linguistics, (2024)SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning., , , , , , и . CoRR, (2022)From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models., , , , , , , и . CoRR, (2024)Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation., , , и . EMNLP, стр. 6737-6749. Association for Computational Linguistics, (2023)