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Collections including paper arxiv:2502.03860

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

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

Paper • 2501.09686 • Published Jan 16, 2025 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28, 2025 • 36
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4, 2025 • 22
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4, 2025 • 18

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2, 2025 • 24
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3, 2025 • 24
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Paper • 2502.01100 • Published Feb 3, 2025 • 20
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

Paper • 2502.01081 • Published Feb 3, 2025 • 13

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

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

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

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

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

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

Paper • 2501.09686 • Published Jan 16, 2025 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28, 2025 • 36
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4, 2025 • 22
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4, 2025 • 18

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Paper • 2502.03860 • Published Feb 6, 2025 • 25

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2, 2025 • 24
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3, 2025 • 24
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Paper • 2502.01100 • Published Feb 3, 2025 • 20
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

Paper • 2502.01081 • Published Feb 3, 2025 • 13

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

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