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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
Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks
EMNLP 2025
Mind the Time: Temporally-Controlled Multi-Event Video Generation
CVPR 2025
LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
EMNLP 2025
LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints
EMNLP 2025
MMPlanner: Zero-Shot Multimodal Procedural Planning with Chain-of-Thought Object State Reasoning
EMNLP 2025
Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions
EMNLP 2025
Can We Steer Reasoning Direction by Thinking Intervention?
EMNLP 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
EMNLP 2025
LLM-based Open Domain Planning by Leveraging Entity-Attribute-Level Domain Models
EMNLP 2025
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective
EMNLP 2025
Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation
EMNLP 2025
Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation
EMNLP 2025
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
EMNLP 2025
RLMEval: Evaluating Research-Level Neural Theorem Proving
EMNLP 2025
Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents
EMNLP 2025
Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models
EMNLP 2025
Representation-driven Option Discovery in Reinforcement Learning
AAAI 2025
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
EMNLP 2025
DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
EMNLP 2025
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
EMNLP 2025
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
NAACL 2025
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
EMNLP 2025
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
EMNLP 2025
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
AAAI 2025
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
ACL 2025
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