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Collections including paper arxiv:2501.09686

Abstract Spatial Intelligence

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics

Paper • 2502.11859 • Published Feb 17
Does Spatial Cognition Emerge in Frontier Models?

Paper • 2410.06468 • Published Oct 9, 2024 • 2
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations

Paper • 2506.04633 • Published Jun 5 • 19
PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models

Paper • 2502.08636 • Published Feb 12

LLM and Reasoning Papers

Papers dump of LLM Reasoning domain

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19, 2024 • 46
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 11
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 14

AGI and beyond ideas

Competitive Programming with Large Reasoning Models

Paper • 2502.06807 • Published Feb 3 • 68
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
Reasoning Language Models: A Blueprint

Paper • 2501.11223 • Published Jan 20 • 33

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 130
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding

Paper • 2502.19400 • Published Feb 26 • 48

Reasoning - Chain-of-Thought

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 115
Reasoning Language Models: A Blueprint

Paper • 2501.11223 • Published Jan 20 • 33
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 33
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 249
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123

Evolving Deeper LLM Thinking

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

Paper • 2501.10120 • Published Jan 17 • 53
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 33
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 22

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

Paper • 2501.09686 • Published Jan 16 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28 • 37
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4 • 23
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4 • 18

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

Paper • 2501.09686 • Published Jan 16 • 41

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16 • 48
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

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

Paper • 2501.12948 • Published Jan 22 • 429
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 124

Abstract Spatial Intelligence

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics

Paper • 2502.11859 • Published Feb 17
Does Spatial Cognition Emerge in Frontier Models?

Paper • 2410.06468 • Published Oct 9, 2024 • 2
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations

Paper • 2506.04633 • Published Jun 5 • 19
PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models

Paper • 2502.08636 • Published Feb 12

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 249
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 58
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123

LLM and Reasoning Papers

Papers dump of LLM Reasoning domain

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19, 2024 • 46
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 11
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 14

Evolving Deeper LLM Thinking

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

Paper • 2501.10120 • Published Jan 17 • 53
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 33
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 22

AGI and beyond ideas

Competitive Programming with Large Reasoning Models

Paper • 2502.06807 • Published Feb 3 • 68
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
Reasoning Language Models: A Blueprint

Paper • 2501.11223 • Published Jan 20 • 33

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

Paper • 2501.09686 • Published Jan 16 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28 • 37
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4 • 23
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4 • 18

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 130
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding

Paper • 2502.19400 • Published Feb 26 • 48

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

Paper • 2501.09686 • Published Jan 16 • 41

Reasoning - Chain-of-Thought

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 115
Reasoning Language Models: A Blueprint

Paper • 2501.11223 • Published Jan 20 • 33
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 33
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16 • 48
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

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

Paper • 2501.12948 • Published Jan 22 • 429
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 124

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