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Collections including paper arxiv:2503.18878

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 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142

Interpretability

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Truth Neurons

Paper • 2505.12182 • Published May 18 • 8
Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11 • 21
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls

Paper • 2510.00184 • Published Sep 30 • 16

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 14
Thought Anchors: Which LLM Reasoning Steps Matter?

Paper • 2506.19143 • Published Jun 23 • 13

Model Evaluation

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

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

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

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

Paper • 2502.01534 • Published Feb 3 • 40

Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11 • 21
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 40
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

Paper • 2505.22255 • Published May 28 • 24
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

LLM Internal Mechanism

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

Paper • 2503.22165 • Published Mar 28 • 28

Models and datasets used in the paper "Interpreting Reasoning Features in Large Language Models via Sparse Autoenoder": https://arxiv.org/abs/2503.188

andreuka18/DeepSeek-R1-Distill-Llama-8B-lmsys-openthoughts-tokenized

Viewer • Updated Mar 31 • 781k • 164
andreuka18/deepseek-r1-distill-llama-8b-lmsys-openthoughts

Text Generation • Updated Mar 31
andreuka18/OpenThoughts-10k-DeepSeek-R1

Viewer • Updated Mar 31 • 10k • 26
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

Papers I have written about on my blog.

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization

Paper • 2503.16874 • Published Mar 21 • 44
System Prompt Optimization with Meta-Learning

Paper • 2505.09666 • Published May 14 • 71
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29 • 22
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Paper • 2505.23754 • Published May 29 • 15

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

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 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11 • 21
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 40
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

Paper • 2505.22255 • Published May 28 • 24
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142

LLM Internal Mechanism

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

Paper • 2503.22165 • Published Mar 28 • 28

Interpretability

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Truth Neurons

Paper • 2505.12182 • Published May 18 • 8
Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11 • 21
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls

Paper • 2510.00184 • Published Sep 30 • 16

Models and datasets used in the paper "Interpreting Reasoning Features in Large Language Models via Sparse Autoenoder": https://arxiv.org/abs/2503.188

andreuka18/DeepSeek-R1-Distill-Llama-8B-lmsys-openthoughts-tokenized

Viewer • Updated Mar 31 • 781k • 164
andreuka18/deepseek-r1-distill-llama-8b-lmsys-openthoughts

Text Generation • Updated Mar 31
andreuka18/OpenThoughts-10k-DeepSeek-R1

Viewer • Updated Mar 31 • 10k • 26
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 14
Thought Anchors: Which LLM Reasoning Steps Matter?

Paper • 2506.19143 • Published Jun 23 • 13

Papers I have written about on my blog.

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization

Paper • 2503.16874 • Published Mar 21 • 44
System Prompt Optimization with Meta-Learning

Paper • 2505.09666 • Published May 14 • 71
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29 • 22
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Paper • 2505.23754 • Published May 29 • 15

Model Evaluation

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

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

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

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

Paper • 2502.01534 • Published Feb 3 • 40

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

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