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Methodology
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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
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations
ACL 2024
Belief Revision: The Adaptability of Large Language Models Reasoning
EMNLP 2024
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models
ACL 2024
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
EMNLP 2024
Learning to Correct for QA Reasoning with Black-box LLMs
EMNLP 2024
Harnessing Toulmin’s theory for zero-shot argument explication
ACL 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
EMNLP 2024
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
ACL 2024
SemEval-2024 Task 5: Argument Reasoning in Civil Procedure
SEMEVAL 2024
Toward Compositional Behavior in Neural Models: A Survey of Current Views
EMNLP 2024
Do Large Language Models Latently Perform Multi-Hop Reasoning?
ACL 2024
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
ACL 2024
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
ACL 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans
EMNLP 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
ACL 2024
PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models
COLING 2024
ECON: On the Detection and Resolution of Evidence Conflicts
EMNLP 2024
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
ACL 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis.
ACL 2024
Puzzle Solving using Reasoning of Large Language Models: A Survey
EMNLP 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
EMNLP 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
EMNLP 2024
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
EMNLP 2024
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
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