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Document Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Authors: DeepSeek-AI

Meta Analysis

Primary Topics
Reinforcement Learning Large Language Models Reasoning Capabilities
Tags
AI LLM RL reasoning DeepSeek OpenAI distillation cold-start benchmark
Key Concepts
Reinforcement Learning Model Distillation Language Model Training Reasoning
Named Entities
DeepSeek-R1 DeepSeek-R1-Zero OpenAI Qwen Llama DeepSeek-V3-Base
Document Category
Research Article

Document Summary

Here are 10 multiple-choice questions based on the provided document:.

  1. What is the primary method used to train DeepSeek-R1-Zero?
    a) Supervised fine-tuning (SFT)
    b) Reinforcement learning (RL) (CORRECT ANSWER)
    c) Transfer learning
    d) Distillation

  2. What challenge(s) did DeepSeek-R1-Zero encounter?
    a) Excellent readability
    b) Minimal language mixing
    c) Poor readability and language mixing (CORRECT ANSWER)
    d) High inference speed

  3. What additional data does DeepSeek-R1 incorporate compared to DeepSeek-R1-Zero?
    a) More supervised fine-tuning data
    b) Pre-training data
    c) Cold-start data (CORRECT ANSWER)
    d) No additional data

  4. What is the performance benchmark that DeepSeek-R1 comparable to?
    a) GPT-4
    b) DeepSeek-V3
    c) OpenAI-01-1217 (CORRECT ANSWER)
    d) Qwen2.5-32B

  5. What base model was used to create DeepSeek-R1-Zero?
    a) Qwen2.5-32B
    b) Llama3
    c) DeepSeek-V3-Base (CORRECT ANSWER)
    d) OpenAI-01-1217

  6. What is a key advantage of using cold-start data for DeepSeek-R1?
    a) Reduced training time
    b) Simplified architecture
    c) Better performance and accelerated convergence (CORRECT ANSWER)
    d) Elimination of the need for RL

  7. What does GRPO, used as reinforcement learning technique, stand for?
    a) General Reinforcement Policy Optimization
    b) General Relative Policy Optimization
    c) Group Relative Policy Optimization (CORRECT ANSWER)
    d) Group Reinforcement Policy Optimization

  8. What is one area where DeepSeek-R1 initially falls short compared to DeepSeek-V3?
    a) Reasoning tasks
    b) Mathematics
    c) Coding
    d) Tasks like function calling and multi-turn conversations (CORRECT ANSWER)

  9. What issue might arise when DeepSeek-R1 handles queries in languages other than Chinese or English?
    a) Faster processing times
    b) High accuracy
    c) Language mixing in reasoning and responses (CORRECT ANSWER)
    d) Improved clarity

  10. What technique is used for evaluating livecodeBench models?
    a) CoT (Chain of Thought) (CORRECT ANSWER)
    b) GoT (Gems of Thought)
    c) PoT (Pool of Thought)
    d) SoT (Stack of Thought)

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