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Can Language Models perform Abductive Commonsense Reasoning?. CoRR, (2022)CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification., , , , and . EACL (System Demonstrations), page 195-208. Association for Computational Linguistics, (2023)Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging., , , , , , , , and . CoRR, (2023)Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards., , , , and . CoRR, (2024)Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models., , , , , , , , , and . CoRR, (2024)Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization., , , , , and . COLING, page 6285-6300. International Committee on Computational Linguistics, (2022)The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning., , , , , , and . EMNLP, page 12685-12708. Association for Computational Linguistics, (2023)Exploring the Benefits of Training Expert Language Models over Instruction Tuning., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 14702-14729. PMLR, (2023)LangBridge: Multilingual Reasoning Without Multilingual Supervision., , , , , and . CoRR, (2024)