reasoning task

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024 AuRoRA: A One-for-all Platform for Augmented Reasoning and Refining with Task-Adaptive Chain-of-Thought Prompting COLING 2024 Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ICLR 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024 Evaluating Multilingual Long-Context Models for Retrieval and Reasoning EMNLP 2024 I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024 In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models EMNLP 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Large Language Models as Analogical Reasoners ICLR 2024 Latent Learningscape Guided In-context Learning ACL 2024 Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination EMNLP 2024 Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024 Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024 SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NeurIPS 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 Better Zero-Shot Reasoning with Self-Adaptive Prompting ACL 2023 Chain of Thought Prompting Elicits Knowledge Augmentation ACL 2023 R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context EMNLP 2023 Exploring Length Generalization in Large Language Models NeurIPS 2022 The Legal Argument Reasoning Task in Civil Procedure EMNLP 2022 Tractable Abstract Argumentation via Backdoor-Treewidth AAAI 2022 Choice Logics and Their Computational Properties IJCAI 2021