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Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback., , , , , , , и . CoRR, (2023)The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models., , , , , , , , , и 22 other автор(ы). CoRR, (2024)Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering., , , , и . CoRR, (2024)Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization., , , , , и . COLING, стр. 6285-6300. International Committee on Computational Linguistics, (2022)Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics., , , , , , , , , и 2 other автор(ы). CoRR, (2024)TUTORING: Instruction-Grounded Conversational Agent for Language Learners., , , , , , и . AAAI, стр. 16413-16415. AAAI Press, (2023)CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification., , , , и . EACL (System Demonstrations), стр. 195-208. Association for Computational Linguistics, (2023)Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents., , , , , , , , и . EMNLP, стр. 5606-5632. Association for Computational Linguistics, (2023)Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models., , , , , , , , , и 1 other автор(ы). CoRR, (2024)