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Methodology
← Core AI
Artificial Intelligence
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Core AI
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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
Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs
AAAI 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
EMNLP 2024
Improving Multi-Agent Debate with Sparse Communication Topology
EMNLP 2024
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
ACL 2024
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
AAAI 2024
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models
EMNLP 2024
The Logic of Doxastic Strategies
AAAI 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
IJCAI 2024
What Makes Models Compositional? A Theoretical View
IJCAI 2024
Towards Automatic Composition of ASP Programs from Natural Language Specifications
IJCAI 2024
Large Language Models Are Not Strong Abstract Reasoners
IJCAI 2024
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
IJCAI 2024
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling
IJCAI 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
IJCAI 2024
Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)
IJCAI 2024
A differentiable first-order rule learner for inductive logic programming (Abstract Reprint)
IJCAI 2024
Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision
IJCAI 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
EMNLP 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
EMNLP 2024
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
ACL 2024
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
EMNLP 2024
Temporal Knowledge Question Answering via Abstract Reasoning Induction
ACL 2024
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