Towards Improving Reasoning & Planning Capabilities of LLMs with Neuro-Symbolic Learning

✨✨ 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

1. Awesome Tutorials & Workshops & Talks
2. Awesome Survey
3. Basic Neuro-Symbolic Frameworks
4. Symbolic to LLM
• Symbolic Generation, LLM Imitation
• LLM Formalize, Symbolic Augment
5. LLM to Symbolic
• Symbolic Solver Aided Methods
• Program Aided Methods
• Tool Aided Methods
• Search Augmented Methods
6. LLM plus Symbolic
• Symbolic Formatted Reasoning
• Differential Symbolic Module
• Symbolic Feedback
7. Awesome Datasets & Benchmarks

📌 Awesome Tutorials & Workshops & Talks

• 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

🔍 Survey

Survey on LLM Reasoning

• 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

Survey on LLM Planning

• 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

Survey on Neuro-Symbolic Learning

• 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

📖 Basic Neuro-Symbolic Frameworks

Title	Venue	Date	Code
Semantic-based regularization for learning and inference	Artificial Intelligence	2017	-
DeepProbLog: Neural Probabilistic Logic Programming	NeurIPS	2018	Github
Learning Explanatory Rules from Noisy Data	Journal of Artificial Intelligence Research	2018	Github
Augmenting Neural Networks with First-order Logic	ACL	2019	-
Neural Logic Machines	ICLR	2019	Github
Bridging Machine Learning and Logical Reasoning by Abductive Learning	NeurIPS	2019	Github
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver	ICML	2019	Github
DL2: Training and Querying Neural Networks with Logic	ICML	2019	Github
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision	ICLR	2019	Github
NeurASP: Embracing Neural Networks into Answer Set Programming	IJCAI	2020	Github
Learning programs by learning from failures	Machine Learning	2020	-
Logical Neural Networks	Arxiv	2020	Github
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning	ICML	2020	Github
Ontology Reasoning with Deep Neural Networks	Artificial Intelligence	2020	-
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks	AAAI	2022	-
Neuro-Symbolic Hierarchical Rule Induction	ICML	2022	-
Logic Tensor Networks	Artificial Intelligence	2022	Github
Neuro-symbolic Learning Yielding Logical Constraints	NeurIPS	2023	Github
Neural-Symbolic Recursive Machine for Systematic Generalization	ICLR	2024	Github

📖 Symbolic to LLM

Symbolic Generation, LLM Imitation

Title	Venue	Date	Domain	Code
Solving Olympiad geometry without human demonstrations	Nature	2024	Geometric Math Reasoning	Github
Chain of Thought Imitation with Procedure Cloning	NeurIPS	2022	Planning	Github
Plansformer: Generating Symbolic Plans using Transformers	Arxiv	2022	Planning	-
Beyond A$^*$: Better Planning with Transformers via Search Dynamics Bootstrapping	Arxiv	2024	Planning	Github
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces	Arxiv	2024	Planning	Github
Stream of Search (SoS): Learning to Search in Language	COLM	2024	Reasoning	Github
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models	Arxiv	2025	Reasoning	Github
Language Models can be Deductive Solvers	NAACL	2024	Logical Reasoning	Github
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving	ICLR	2021	Theorem Proving	Github
Generating Millions Of Lean Theorems With Proofs By Exploring State Transition Graphs	Arxiv	2025	Theorem Proving	-
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus	NeurIPS	2024	Logical Reasoning	-
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalization with Transformers	NAACL	2024	Math Reasoning	Github
Proving Olympiad Algebraic Inequalities without Human Demonstrations	NeurIPS	2024	Theorem Proving	Github
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models	EMNLP	2024	Logical Reasoning	Github

LLM Formalize, Symbolic Augment

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

📖 LLM to Symbolic

Symbolic Solver Aided Methods

Title	Venue	Date	Domain	Code
MRKL Systems: A modular, Neuro-Symbolic Architecture that Combines Large Language models, External Knowledge Sources and Discrete Reasoning	Arxiv	2022	Reasoning	-
Leveraging Large Language Models to Generate Answer Set Programs	KR	2023	Reasoning	Github
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning	EMNLP	2023	Reasoning	Github
LOGIC-LM++: Multi-Step Refinement for Symbolic Formulations	ACL	2024	Reasoning	-
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers	EMNLP	2023	Reasoning	Github
Faithful Chain-of-Thought Reasoning	IJCNLP-AACL	2023	Reasoning	Github
SATLM: Satisfiability-Aided Language Models Using Declarative Prompting	NeurIPS	2023	Math Reasoning	Github
Faithful Logical Reasoning via Symbolic Chain-of-Thought	ACL	2023	Reasoning	Github
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving	EMNLP	2024	Theorem Proving	Github
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation	ICML	2024	Code Generation	-
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context	NeurIPS	2023	Code Generation	Github
Solving Math Word Problems by Combining Language Models With Symbolic Solvers	Arxiv	2023	Math Reasoning	Github
AutoSAT: Automatically Optimize SAT Solvers via Large Language Models	Arxiv	2024	SAT Problem	Github
Prototype-then-Refine: A Neuro-Symbolic Approach for Improved Logical Reasoning with LLMs	Arxiv	2024	Reasoning	-
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs	Arxiv	2024	Reasoning	Github
SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning	Arxiv	2025	Reasoning	Github
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning	AAAI	2024	Math Reasoning	-
Lemur: Integrating Large Language Models in Automated Program Verification	ICLR	2024	Code Generation	-
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning	NeurIPS	2023	Robotics	Github
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions	NeurIPS	2023	Robotics	Github
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning	EMNLP	2024	Spatial Reasoning	-
Generalized Planning in PDDL Domains with Pretrained Large Language Models	AAAI	2024	Planning	Github
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning	NeurIPS	2023	Planning	Github
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text	ACL Findings	2023	Planning	Github
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency	Arxiv	2023	Planning/Robotics	Github
Dynamic Planning with a LLM	LanGame Workshop @ NeurIPS	2023	Planning/Robotics	-
Neuro-Symbolic Procedural Planning with Commonsense Prompting	ICLR	2023	Planning/Robotics	Github
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models	NeurIPS	2024	Planning	Github
A Framework for Neurosymbolic Robot Action Planning using Large Language Models	Frontiers in Neurorobotics	2024	Robotics	Github
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation	Arxiv	2024	Robotics	-
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models	NeurIPS D&B	2023	Theorem Proving	Github
LEGO-Prover: Neural Theorem Proving with Growing Libraries	ICLR	2024	Theorem Proving	Github
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning	ICLR	2025	Theorem Proving	Github
Autoformalization with Large Language Models	NeurIPS	2022	Theorem Proving	-
Autoformalizing Euclidean Geometry	ICML	2024	Geometry Reasoning	Github
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency	NeurIPS	2024	Theorem Proving	Github
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs	ICLR	2023	Theorem Proving	Github
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization	ICLR	2024	Theorem Proving	Github
Large Language Models as Planning Domain Generators	ICAPS	2024	Planning	Github
Generating Symbolic World Models via Test-time Scaling of Large Language Models	ICML	2024	Planning	-

Program-Aided Methods

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

Tool-Aided Methods

Title	Venue	Date	Code
Visual Programming: Compositional visual reasoning without training	CVPR (Best Paper)	2023	Visual Reasoning
ViperGPT: Visual Inference via Python Execution for Reasoning	CVPR	2023	Visual Reasoning
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules	ICLR	2024	Visual Reasoning
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	NeurIPS	2023	Multi-Modal Reasoning
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face	NeurIPS	2023	Visual Reasoning
ART: Automatic Multi-Step Reasoning and Tool-use for Large Language Models	Arxiv	2023	Reasoning
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models	EMNLP	2023	Reasoning
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving	ICLR	2024	Math Reasoning
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings	NeurIPS	2023	Agent
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs	Arxiv	2023	Agent
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs	ICLR	2024	Agent
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage	ICLR	2025	Visual Reasoning
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback	EMNLP	2024	Reasoning
START: Self-taught Reasoner with Tools	Arxiv	2025	Reasoning

Search Augmented Methods

Title	Venue	Date	Domain	Code
Self-Evaluation Guided Beam Search for Reasoning	NeurIPS	2023	Reasoning	Github
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning	COLM	2024	Reasoning	Github
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time	Arxiv	2024	Reasoning	-
NEUROLOGIC A*esque Decoding:Constrained Text Generation with Lookahead Heuristics	NAACL	2022	Reasoning	-
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions	Arxiv	2024	Reasoning	Github
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning	Arxiv	2024	Reasoning	Github
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search	Arxiv	2024	Reasoning	Github
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search	Arxiv	2024	Visual Reasoning	Github
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning	NeurIPS	2023	Planning	Github
Planning with Large Language Models for Code Generation	ICLR	2023	Code Generation	Github
Tree of Thoughts: Deliberate Problem Solving with Large Language Models	NeurIPS	2023	Reasoning	Github
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models	Arxiv	2024	Code Generation	-
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training	Arxiv	2024	Reasoning	-
Reasoning with Language Model is Planning with World Model	EMNLP	2023	Reasoning	-
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning	ICLR	2024	Reasoning	-
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models	ICLR	2025	Reasoning	Github
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning	Arxiv	2025	Math Reasoning	-
FGeo-DRL:Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning	Arxiv	2024	Geometry Reasoning	Github
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models	Arxiv	2024	Reasoning	Github
AlphaMath Almost Zero: Process Supervision without Process	NeurIPS	2024	Math Reasoning	Github
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations	ACL	2024	Math Reasoning	Github
Improve Mathematical Reasoning in Language Models by Automated Process Supervision	DeepMind Report	2024	Math Reasoning	-
ReST-MCTS: LLM Self-Training via Process Reward Guided Tree Search	NeurIPS	2024	Math/Chemistry/Physics	Github
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking	ICLR	2025	Math Reasoning	Github
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search	NeurMAD Workshop @ AAAI	2025	Math Reasoning	-
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving	Arxiv	2025	Theorem Proving	Github
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation	Arxiv	2024	Reasoning	Github

📖 LLM plus Symbolic

Symbolic Formatted Reasoning

Title	Venue	Date	Domain	Code
Deductive Verification of Chain-of-Thought Reasoning	NeurIPS	2023	Reasoning	Github
Show Your Work: Scratchpads for Intermediate Computation with Language Models	DL4C Workshop @ ICLR	2022	Code Generation	-
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models	COLM	2024	Spatial Reasoning/Path Planning	Github
Learning to Reason via Program Generation, Emulation, and Search	NeurIPS	2024	Reasoning	Github
Symbolic Working Memory Enhances Language Models for Complex Rule Application	EMNLP	2024	Reasoning	Github
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction	Arxiv	2025	Reasoning	Github
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models	COLING	2025	Reasoning	Github
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions	Arxiv	2025	Reasoning	-
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models	ICRA	2023	Robotics	Github
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation	ICLR	2023	Robotics	Github
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning	ICLR	2025	Reasoning	Github

Differential Symbolic Modules

Title	Venue	Date	Domain	Code
Neuro-Symbolic Visual Reasoning: Disentangling “Visual” from “Reasoning”	ICML	2020	Visual Reasoning	Github
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents	Arxiv	2022	Robotics	-
What's Left? Concept Grounding with Logic-Enhanced Foundation Models	NeurIPS	2023	Visual Reasoning	Github
Take A Step Back: Rethinking the Two Stages in Visual Reasoning	ECCV	2024	Visual Reasoning	Github
DiLA: Enhancing LLM Tool Learning with Differential Logic Layer	Arxiv	2024	Reasoning	-
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks	ICLR	2024	Reasoning	Github
Empowering Language Models with Knowledge Graph Reasoning for Question Answering	EMNLP	2022	Reasoning	-
Neuro-symbolic Training for Spatial Reasoning over Natural Language	Arxiv	2025	Spatial Reasoning	Github
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization	Arxiv	2024	Visual Reasoning	Github

Symbolic Feedback

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	-

Misc on Neuro-Symbolic Learning

Title	Venue	Date	Code
Neuro-Symbolic Entropy Regularization	UAI	2022	Github
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests	IJCAI	2023	Github
Learning with Logical Constraints but without Shortcut Satisfaction	ICLR	2023	Github
Neuro-Symbolic Continual Learning:Knowledge, Reasoning Shortcuts and Concept Rehearsal	ICML	2023	Github
Out-of-Distribution Generalization by Neural-Symbolic Joint Training	AAAI	2023	Github
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts	NeurIPS	2023	-
Localized Symbolic Knowledge Distillation for Visual Commonsense Models	NeurIPS	2023	-
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference	NeurIPS	2023	-
Neuro-Symbolic Continual Learning:Knowledge, Reasoning Shortcuts and Concept Rehearsal	ICML	2023	Github
Out-of-Distribution Generalization by Neural-Symbolic Joint Training	AAAI	2023	Github
Large Language Models Are NeuroSymbolic Reasoners	AAAI	2024	Github
On the Hardness of Probabilistic Neurosymbolic Learning	ICML	2024	-
On the Independence Assumption in Neurosymbolic Learning	ICML	2024	-
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts	ICML	2024	-
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning	ICML	2024	-
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning	ICLR	2024	-
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints	ICLR	2024	-
Adaptable Logical Control for Large Language Models	NeurIPS	2024	-
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts	NeurIPS	2024	-
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought	NeurIPS	2024	Github

🛠️ Awesome Datasets & Benchmarks

Mathematical Reasoning

• 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

Logical Reasoning

• LogicGame, LogiQA, LogiQA-v2.0, PrOntoQA, ProofWriter, BigBench, FOLIO, AbductionRules, ARC Challenge, WANLI, CLUTRR, Adversarial NLI, Adversarial ARCT

Code Generation

• DS-1000, SWE-bench, APPS, MBPP, HumanEval, LiveCodeBench, ODEX

Visual Reasoning

• 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

Geometry Reasoning

• Geometry3K, GEOQA, UniGEO, MathVista

Classical Planning

• PlanBench,LogiCity, Minigrid, BabyAI, Minecraft

Game AI Planning

• 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

Robotic Planning

• Mini-Behavior, CLIPort Dataset, ALFworld, VirtualHome, RocoBench, Behavior, SMART-LLM, PPNL, Robotouille

AI Agent Planning

• WebArena, OSWorld, API-Bank, TravelPlanner, ChinaTravel, TaskBench, WebShop, AgentBench, AgentGym, AgentBoard, GAIA, MINT

Others

• RSbench: A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

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