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Collections including paper arxiv:2502.09100

Neurosymbolic AI (+hyphen)

A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone

Paper • 2508.14923 • Published Aug 19, 2025 • 1
A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design

Paper • 2508.03665 • Published Aug 5, 2025 • 1
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact

Paper • 2507.00951 • Published Jul 1, 2025 • 23
HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs

Paper • 2507.15917 • Published Jul 21, 2025

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 54
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 85
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Paper • 2412.15084 • Published Dec 19, 2024 • 13
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13, 2025 • 99

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 36
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Logical Reasoning in Large Language Models: A Survey

Paper • 2502.09100 • Published Feb 13, 2025 • 24

Model Evaluation

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon

Paper • 2502.07445 • Published Feb 11, 2025 • 11
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7, 2025 • 8
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

Paper • 2502.03032 • Published Feb 5, 2025 • 60
Preference Leakage: A Contamination Problem in LLM-as-a-judge

Paper • 2502.01534 • Published Feb 3, 2025 • 40

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16, 2025 • 46
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16, 2025 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 433
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31, 2025 • 124

Llms and reasoning

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16, 2025 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 433
Chain-of-Retrieval Augmented Generation

Paper • 2501.14342 • Published Jan 24, 2025 • 58
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 65
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 24
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 62

Neurosymbolic AI (+hyphen)

A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone

Paper • 2508.14923 • Published Aug 19, 2025 • 1
A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design

Paper • 2508.03665 • Published Aug 5, 2025 • 1
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact

Paper • 2507.00951 • Published Jul 1, 2025 • 23
HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs

Paper • 2507.15917 • Published Jul 21, 2025

Logical Reasoning in Large Language Models: A Survey

Paper • 2502.09100 • Published Feb 13, 2025 • 24

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 54
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

Model Evaluation

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon

Paper • 2502.07445 • Published Feb 11, 2025 • 11
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7, 2025 • 8
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

Paper • 2502.03032 • Published Feb 5, 2025 • 60
Preference Leakage: A Contamination Problem in LLM-as-a-judge

Paper • 2502.01534 • Published Feb 3, 2025 • 40

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16, 2025 • 46
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16, 2025 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 433
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31, 2025 • 124

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 85
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Paper • 2412.15084 • Published Dec 19, 2024 • 13
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13, 2025 • 99

Llms and reasoning

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16, 2025 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 433
Chain-of-Retrieval Augmented Generation

Paper • 2501.14342 • Published Jan 24, 2025 • 58
RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 36
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 65
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 24
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 62

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