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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
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
EMNLP 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
EMNLP 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
EMNLP 2025
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
EMNLP 2025
Collaborative Beam Search: Enhancing LLM Reasoning via Collective Consensus
EMNLP 2025
Agentic-R1: Distilled Dual-Strategy Reasoning
EMNLP 2025
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
EMNLP 2025
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
EMNLP 2025
ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments
EMNLP 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
EMNLP 2025
Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent
EMNLP 2025
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
EMNLP 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
EMNLP 2025
Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic
EMNLP 2025
START: Self-taught Reasoner with Tools
EMNLP 2025
CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
EMNLP 2025
Thought calibration: Efficient and confident test-time scaling
EMNLP 2025
Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs
EMNLP 2025
Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies
EMNLP 2025
ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
EMNLP 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
EMNLP 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection
EMNLP 2025
TORSO: Template-Oriented Reasoning Towards General Tasks
EMNLP 2025
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs
AAAI 2025
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