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Artificial Intelligence
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Reasoning
2595 directly classified papers
Papers per year
2003: 2
2006: 2
2007: 6
2008: 4
2009: 4
2010: 7
2011: 7
2012: 10
2013: 17
2014: 18
2015: 14
2016: 9
2017: 42
2018: 62
2019: 121
2020: 131
2021: 187
2022: 280
2023: 299
2024: 537
2025: 832
2026: 4
Papers
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
ACL 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning
SEMEVAL 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
ACL 2024
Chain of Logic: Rule-Based Reasoning with Large Language Models
ACL 2024
TRAM: Benchmarking Temporal Reasoning for Large Language Models
ACL 2024
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
ACL 2024
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step
ACL 2024
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline
ACL 2024
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
ACL 2024
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data
ACL 2024
GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini
SEMEVAL 2024
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge
ACL 2024
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
ACL 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
Temporal Knowledge Question Answering via Abstract Reasoning Induction
ACL 2024
Rethinking Visibility in Human Pose Estimation: Occluded Pose Reasoning via Transformers
WACV 2024
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
AAAI 2024
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
ACL 2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning
ACL 2024
ItD: Large Language Models Can Teach Themselves Induction through Deduction
ACL 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
NIPS 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
ACL 2024
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning From Videos
WACV 2024
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
NIPS 2024
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
ACL 2024
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