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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
Theory of Mind in Large Language Models: Assessment and Enhancement
ACL 2025
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
ACL 2025
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
ACL 2025
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning
ACL 2025
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
ACL 2025
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters
ACL 2025
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
ACL 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 2025
Express What You See: Can Multimodal LLMs Decode Visual Ciphers with Intuitive Semiosis Comprehension?
ACL 2025
Logical forms complement probability in understanding language model (and human) performance
ACL 2025
The Role of Deductive and Inductive Reasoning in Large Language Models
ACL 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
ThoughtSculpt: Reasoning with Intermediate Revision and Search
NAACL 2025
Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning
ACL 2025
Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs
ACL 2025
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
Exploring Backward Reasoning in Large Language Models
NAACL 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
IJCNLP 2025
GuideQ: Framework for Guided Questioning for progressive informational collection and classification
NAACL 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
IJCNLP 2025
Improving Consistency in LLM Inference using Probabilistic Tokenization
NAACL 2025
Meta-Reasoning Improves Tool Use in Large Language Models
NAACL 2025
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
NAACL 2025
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
NAACL 2025
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