Tsinghua University "DeepSeek+DeepResearch: Making Scientific Research as Easy as Chatting" (PDF file)

• Main challenges faced by scientific research

  In modern scientific research, five major challenges include the complexity and interdisciplinarity of research projects, data explosion and management difficulties, long research cycles with lengthy and high-risk innovation processes, knowledge fragmentation and information overload, and issues of resource allocation and research management efficiency.

• A new dimension of AI-empowered scientific research

  It explains how AI empowers scientific research from 12 aspects: collaborative co-creation to inspire research, efficiency acceleration to stimulate innovation, intelligent retrieval and precise analysis, data cleaning to mine wisdom, data presentation for intuitive display, optimized design to improve precision, pattern recognition to foresee the future, decision support for accurate judgment, automated experiments to improve efficiency, knowledge mining for innovative discoveries, project optimization for precise management, and promoting results to expand impact.

2. How should it be done?

• Instruction for writing article titles

  How to generate 5 English titles for a research paper based on the provided manuscript abstract and explain the reasons.

• Chinese-English and English-Chinese translation instructions

  Explain how to accurately and academically translate Chinese paragraphs into English, and present the output in the form of a markup table.

• Chinese academic writing polishing instruction

  How to improve the spelling, grammar, clarity, conciseness, and overall readability of the provided text, and provide the output in the form of a markdown table.

• English academic writing polishing instruction

  How to polish English paragraphs in academic papers to conform to academic style, and list all modifications and reasons in a markup table.

• Instruction for improving logic and coherence between paragraphs

  Analyze the logic and coherence between sentences in each paragraph of the text, and propose improved text and improvements.

• One-click punctuation error correction instruction

  How to ensure that punctuation in the text is correct, and list the errors found and the corrected text.

• Rewriting and plagiarism reduction instruction

  How to rewrite paragraphs using the original text, rewriting the text in a scientific research tone and style.

• Instruction for interpreting figures in literature

  How to interpret figures in papers as a domain expert.

• Instruction for paper reference formatting

  How to check formatting issues in references and provide corrected references.

• Instruction for generating a professional knowledge graph

  How to use web search for the latest information, extract entities and relationships, and build a knowledge structure.

• Instruction for paper topic selection

  From a professional perspective, provide public administration graduate students with a basic overview of the e-commerce field, key research topics, directions suitable for in-depth exploration, and 5 specific research directions.

• Efficient Literature Reading Instructions

  How to efficiently read papers, extract core content, and objectively evaluate the strengths and weaknesses of the literature.

• Literature Content Extraction Instructions

  How to summarize and extract the main content of the literature, including the research topic, core content, research methods, theoretical introduction, and main viewpoints.

• Article Structure Optimization Instructions

  How to optimize the structure of an article, adjust the overall framework of the article, and propose improvement suggestions.

• Literature Review Writing Instructions

  How to write a literature review, covering the research background, main theories and methods, current research trends and challenges, etc.

• Generate Thesis Questionnaire Instructions

  How to generate an academic thesis questionnaire on a specific research topic.

• Simulated Thesis Defense Instructions

  How to conduct a simulated graduation defense in a question-and-answer format.

• Topic Selection and Research Question Determination Instructions

  How to recommend highly innovative and research-valuable thesis topics based on disciplinary development trends, research hotspots, and existing literature.

• Thesis Research Content Writing Instructions

  How to analyze the current research status, list research gaps, and design a research plan based on the research topic.

• Thesis Research Approach Writing Instructions

  How to analyze the current research status, list research gaps, and provide a research approach based on the research topic.

• Thesis Technical Plan Writing Instructions

  How to analyze the current research status, list technical plans, and select the corresponding technical plan based on the research topic and research approach.

• Thesis Abstract Writing Instructions

  How to write a concise and powerful thesis abstract based on the research topic.

• Advanced Data Analysis Instructions

  How to create 10 different visualization charts to display the relationships between data variables or potential analysis ideas.

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III. How are the results?

• Yuanzhi AI Review Tool

  Introduce the overview and functional highlights of the Yuanzhi AI Review Tool, including multi-version and modular support, enhanced drawing functions, no-data retrieval, low repetition rate, unlimited bilingual data import, hallucination overcoming, highly standardized format output, etc.

• Chinese Academy of Sciences PubScholar Platform

  Introduce the overview and functional highlights of the Chinese Academy of Sciences PubScholar Platform, including free and open access, integration of massive academic resources, no-data retrieval, etc.

• CNKI Research Platform

  Introduce the overview and functional highlights of the CNKI Research Platform, including relatively high-standard format output, rich Chinese content, no-data retrieval, etc.

• Stanford STORM

  Introduce the overview and functional highlights of the Stanford STORM platform, including material integration and article generation, simulated dialogue and question generation, conversion of literature into coherent articles, multi-agent collaborative dialogue, etc.

• User Experience Comparison: Usage Steps

  Compare the usage steps of the Yuanzhi AI review tool, the Chinese Academy of Sciences PubScholar platform, the CNKI Research platform, and Stanford STORM.

III. Additional Knowledge

• Introduction to Basic Knowledge of DeepSeek + DeepResearch

  Mainstream LLM products at home and abroad, including aspects such as AI text generation, AI image generation, AI music generation, AI video generation, AI model generation, virtual humans, and data.

• DeepSeek: Disruptive Breakout, Topping Hot Discussions

  Describe DeepSeek's development milestones, including its founding time, the release of open-source code large models, the release of general large models, the release of a new generation of reasoning models, etc., as well as the global attention it has attracted.

• Reasoning Ability: Core Breakthrough, Specialized Upgrade

  Introduce the reasoning ability of DeepSeek R1, including reinforcement learning-driven, specialized improvement of reasoning ability, the reasoning process, etc.

• Training Method: Data Cold Start, Progressive Stages

  Describe DeepSeek R1's training method, including the definition and role of cold-start data, data sources and characteristics, the impact on model training, and the specific process of multi-stage training.

• Cost Reduction and Capability Improvement: Architectural Innovation, Technical Efficiency Enhancement

  Introduce how DeepSeek improves model performance and reduces computational cost and memory usage through architectural innovation and model distillation technology, including model distillation technology, architectural innovation, multi-head latent attention mechanism, multi-token prediction, FP8 mixed-precision training, etc.

• Strategy Optimization: Open-Source Characteristics, Cost Advantages

  Describe DeepSeek's open-source strategy and cost advantages, including training cost, invocation cost, and the advantages and challenges of open-source models.

• Testing and Evaluation: Benchmarking Against the Top, Outstanding Capabilities

  Introduce the performance of DeepSeek R1 in reasoning tasks, knowledge-based tasks, and other tasks, as well as its capabilities in educational knowledge question answering, mathematical reasoning, code generation, etc.

• Local Deployment: Flexible and Efficient, Collaborative Optimization

  Describe DeepSeek's device-side deployment capabilities and device-cloud collaborative optimization, including model lightweighting, real-time performance, hardware compatibility, offline capabilities, task allocation and load balancing, data transmission and latency optimization, model updates and collaborative training, etc.

• Comparative Advantages: High Cost-Effectiveness, Technology for All

  Compare DeepSeek with top similar products at home and abroad in terms of company, model, product type, core functions, advantages, and disadvantages.

• Revolutionizing Technical Standards: Low Cost, High Performance, Open Co-Creation

  Describe how DeepSeek, through innovative technical paths, reshaping pricing logic, and promoting R&D transformation, prompts the AI industry to re-examine technology application and development directions.

• Reshaping the Industry Landscape: Breaking Shackles, Active Competition

  Describe how DeepSeek's rise has changed the competitive landscape of the AI market, including activating market competition, China-US technology competition and cooperation, and upgrading the global AI industry chain.

• Technical Deepening: Breaking Through Limitations, Capability Improvement

  Describe DeepSeek R1's plans for improving general capabilities, solving the language mixing problem, optimizing prompt engineering, software engineering tasks, and other aspects.

• Scenario Expansion: Innovation-Driven, Vertical Deep Cultivation

  Describe DeepSeek R1's future applications in the medical field, financial field, education field, legal field, industrial field, embodied intelligence exploration, self-evolving system construction, multimodal fusion, etc.

• DeepResearch: Intelligent Collaboration, Autonomous Research

  Introduces the core features of DeepResearch, including multi-step autonomous research, end-to-end reinforcement learning, deep information integration, and its applications in scenarios such as academic research, financial analysis, consumer decision-making, and business research.

• Technological Innovation: Automated Processes, Breakthrough Efficiency

  Explains content such as automated processing and intelligent decision-making in technological innovation, deep industry research and data-driven approaches, and full-process automation of complex tasks.

• Cognitive Collaboration: Heterogeneous Intelligence, Cluster Collaboration

  Introduces the third-order cognitive generation system, heterogeneous agent clusters, and the situation of introducing optimization agents to achieve automation of complex tasks.

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