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✨✨ Curated collection of papers and resources on latest advances on improving reasoning and planning abilities of LLM/MLLMs with neuro-symbolic learning
🗂️Table of Contents
- Neuro-Symbolic Visual Reasoning and Program Synthesis Tutorials in CVPR 2020
- Neuro-Symbolic Methods for Language and Vision Tutorials in AAAI 2022
- AAAI 2022 Tutorial on AI Planning: Theory and Practice Tutorials in AAAI 2022
- Advances in Neuro Symbolic Reasoning and Learning Tutorials in AAAI 2023
- Neuro-Symbolic Approaches: Large Language Models + Tool Use Tutorials in ACL 2023
- Neuro-Symbolic Generative Models Workshop in ICLR 2023
- Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models Workshop in AAAI 2024
- Neuro-Symbolic Concepts for Robotic Manipulation Talk given by Jiayuan Mao[Video]
- Building General-Purpose Robots with Compositional Action Abstractions Talk given by Jiayuan Mao
- Summer School on Neurosymbolic Programming
- MIT 6.S191: Neuro-Symbolic AI Talk given by David Cox[Video]
- NeuroSymbolic Programming[Slides]
- LLM Reasoning: Key Ideas and Limitations Talk give by Denny Zhou
- Inference-Time Techniques for LLM Reasoning Talk given by Xinyun Chen
- Neurosymbolic Reasoning for Large Language Models Neuro-Symbolic AI Summer School in UCLA, 2024
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
- LLM Post-Training: A Deep Dive into Reasoning Large Language Models
- A Survey on Post-training of Large Language Models
- Reasoning Language Models: A Blueprint
- Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
- Logical Reasoning in Large Language Models: A Survey
- From System 1 to System 2: A Survey of Reasoning Large Language Models
- A Survey on LLM Inference-Time Self-Improvement
- Empowering LLMs with Logical Reasoning: A Comprehensive Survey
- Advancing Reasoning in Large Language Models: Promising Methods and Approaches
- A Survey on Deep Learning for Theorem Proving
- A Survey of Mathematical Reasoning in the Era of Multi-Modal Large Language Model: Benchmark, Method & Challenges
- Multi-Modal Chain-of-Thought Reasoning:A Comprehensive Survey
- Exploring the Reasoning Abilities of Multi-Modal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
- A Survey on Large Language Models for Automated Planning
- A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
- A Survey on Large Language Model based Autonomous Agents
- Understanding the planning of LLM agents: A survey
- Introduction to AI Planning
- A Survey on Neural-symbolic Learning Systems
- Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
- Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
- Neuro-Symbolic AI: The 3rd Wave
- Neuro-Symbolic AI and its Taxonomy: A Survey
- The third AI summer: AAAI Robert S. Engelmore Memorial Lecture
- NeuroSymbolic AI - Why, What, and How
- From Statistical Relational to Neuro-Symbolic Artificial Intelligence: a Survey
- Neuro-Symbolic Artificial Intelligence: Current Trends
- Neuro-Symbolic Reinforcement Learning and Planning: A Survey
- A Review on Neuro-symbolic AI Improvements to Natural Language Processing
- Survey on Applications of NeuroSymbolic Artificial Intelligence
- Overview of Neuro-Symbolic Integration Frameworks
| Title | Venue | Date | Domain | Code |
|---|---|---|---|---|
| AMR-DA: Data Augmentation by Abstract Meaning Representation | ACL | 2022 | Logic Reasoning | Github |
| Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning | ACL | 2024 | Logic Reasoning | Github |
| Neuro-Symbolic Data Generation for Math Reasoning | NeurIPS | 2024 | Math Reasoning | - |
| LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM | SCI-FM Workshop @ ICLR | 2025 | Legal Reasoning | Github |
| AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs | Arxiv | 2024 | Theorem Proving | - |
| Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation | ICLR | 2025 | Logic Reasoning | Github |
| Title | Venue | Date | Domain | Code |
|---|---|---|---|---|
| PAL: Program-aided Language Models | ICML | 2023 | Reasoning | Github |
| Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks | TMLR | 2023 | Math Reasoning | Github |
| Binding Language Models in Symbolic Languages | ICLR | 2023 | Reasoning | Github |
| Chain of Code: Reasoning with a Language Model-Augmented Code Emulator | ICML | 2024 | Reasoning | Github |
| CODE4STRUCT: Code Generation for Few-Shot Event Structure Prediction | ACL | 2023 | Reasoning | Github |
| MathPrompter: Mathematical Reasoning using Large Language Models | ACL | 2023 | Math Reasoning | Github |
| Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning | ACL | 2024 | Reasoning | Github |
| Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments | Arxiv | 2025 | Reasoning | - |
| Code as Policies: Language Model Programs for Embodied Control | Arxiv | 2023 | Robotics | Github |
| Title | Venue | Date | Domain | Code |
|---|---|---|---|---|
| CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution | ECAI | 2024 | Code Generation | - |
| Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks | ICML | 2024 | Planning | - |
| RLSF: Reinforcement Learning via Symbolic Feedback | Arxiv | 2025 | Reasoning | Github |
| Rule Based Rewards for Language Model Safety | NeurIPS | 2024 | - |
- GSM8K,MATH,AIME,OlympiadBench,MiniF2F,GSM Symbolic,MWPBench,AMC,AddSub,MathQA,FIMO,TRIGO,U-MATH,Mario,MultiArith,CHAMP,ARB,LeanDojo,LISA,PISA,TheoremQA,FrontierMath,Functional,TABMWP,SCIBENCH,MultiHiertt,ChartQA
- LogicGame,LogiQA,LogiQA-v2.0,PrOntoQA,ProofWriter,BigBench,FOLIO,AbductionRules,ARC Challenge,WANLI,CLUTRR,Adversarial NLI,Adversarial ARCT
- Visual Sudoku,CLEVR Dataset,GQA Dataset,VQA & VQA v2.0,Flickr30k entities,DAQUAR,Visual Genome,Visual7W,COCO-QA,TDIUC,SHAPES,VQA-Rephrasings,VQA P2,VQA-HAT,VQA-X,VQA-E,TallyQA,ST-VQA,Text-VQA,FVQA,OK-VQA
- Atari 100k,Procgen,Gym Retro,Malmö,Obstacle Tower,Torcs,DeepMind Lab,Hard Eight,DeepMind Control,VizDoom,Pommerman,Multiagent emergence,Google Research Football,Neural MMOs,StarCraft II,PySC2,Fever Basketball
- WebArena,OSWorld,API-Bank,TravelPlanner,ChinaTravel,TaskBench,WebShop,AgentBench,AgentGym,AgentBoard,GAIA,MINT
- RSbench: A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
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