chain of thought

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs NeurIPS 2024 MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL 2024 MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024 Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024 Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future ACL 2024 nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States SemEval 2024 NLPeople at TextGraphs-17 Shared Task: Chain of Thought Questioning to Elicit Decompositional Reasoning ACL 2024 Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination EMNLP 2024 NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024 OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs SemEval 2024 PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search COLING 2024 Prompt Engineering a Prompt Engineer ACL 2024 Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models NAACL 2024 Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts EMNLP 2024 Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024 RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024 SALMON: A Structure-Aware Language Model with logicality and densification strategy for Temporal Knowledge Graph Reasoning EMNLP 2024 SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark ACL 2024 Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards EMNLP 2024 Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns? EMNLP 2024 StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving NeurIPS 2024 Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA CVPR 2024 Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering ACL 2024 The Expressive Power of Transformers with Chain of Thought ICLR 2024 The Impact of Reasoning Step Length on Large Language Models ACL 2024