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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Planning
3112 directly classified papers
Papers per year
2000: 1
2003: 2
2005: 1
2006: 10
2007: 16
2008: 15
2009: 17
2010: 13
2011: 26
2012: 27
2013: 30
2014: 26
2015: 25
2016: 33
2017: 102
2018: 125
2019: 246
2020: 248
2021: 305
2022: 255
2023: 364
2024: 447
2025: 548
2026: 230
Papers
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
AAAI 2025
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
NAACL 2025
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models
NAACL 2025
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
NAACL 2025
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
NAACL 2025
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search
NAACL 2025
ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation
NAACL 2025
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
EMNLP 2025
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling
NAACL 2025
Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback
NAACL 2025
MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation
NAACL 2025
DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent
COLING 2025
Making Large Language Models into World Models with Precondition and Effect Knowledge
COLING 2025
ProTOD: Proactive Task-oriented Dialogue System Based on Large Language Model
COLING 2025
SNAP: Semantic Stories for Next Activity Prediction
AAAI 2025
PreAct: Prediction Enhances Agent’s Planning Ability
COLING 2025
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use, Planning (Including RAG), and Feedback Learning
COLING 2025
Underwater Visual SLAM with Depth Uncertainty and Medium Modeling
ICCV 2025
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
AAAI 2025
Growing Through Experience: Scaling Episodic Grounding in Language Models
ACL 2025
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
AAAI 2025
Simulating Human-like Daily Activities with Desire-driven Autonomy
ICLR 2025
Coarse-to-Fine Grounded Memory for LLM Agent Planning
EMNLP 2025
Planning with Multi-Constraints via Collaborative Language Agents
COLING 2025
How Do Large Language Models Perform in Dynamical System Modeling
NAACL 2025
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