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Joint Multi-Domain Learning for Automatic Short Answer Grading., , , , , и . CoRR, (2019)MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models., , , и . CoRR, (2024)PRover: Proof Generation for Interpretable Reasoning over Rules., , , и . EMNLP (1), стр. 122-136. Association for Computational Linguistics, (2020)MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation., , , , и . ACL (Findings), стр. 11069-11090. Association for Computational Linguistics, (2023)Bootstrapping for Numerical Open IE., , и . ACL (2), стр. 317-323. Association for Computational Linguistics, (2017)Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading., , , , , и . CIKM, стр. 993-1002. ACM, (2018)Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors., , , , и . AIED (1), том 10947 из Lecture Notes in Computer Science, стр. 70-85. Springer, (2018)Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind., , и . CoRR, (2023)ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs., , и . CoRR, (2023)Open Information Extraction from Conjunctive Sentences., и . COLING, стр. 2288-2299. Association for Computational Linguistics, (2018)