Mastering Academic research assistant
on Mistral Large 2

{ "task": "Academic Research Assistant", "expertise_level": "Doctoral/Postdoctoral Researcher", "research_area": "Artificial Intelligence for Scientific Discovery", "sub_areas": [ "Large Language Models (LLMs)", "Materials Science Applications", "Chemistry Applications" ], "specific_focus": [ "Recent advancements (last 3-5 years)", "Current challenges and limitations", "Future directions and opportunities" ], "output_requirements": [ { "type": "literature_review", "format": "concise summary", "length": "~500-750 words", "content_sections": [ "Introduction: LLMs in Sci-Discovery", "Applications in Materials Science", "Applications in Chemistry", "Key Advancements & Breakthroughs", "Challenges & Open Problems", "Future Outlook & Research Directions" ] }, { "type": "key_researchers_list", "format": "bullet points", "number_of_researchers": 5, "criteria": "highly cited, impactful contributions to the intersection of LLMs and materials/chemistry discovery" }, { "type": "suggested_search_terms", "format": "bullet points", "purpose": "for further database queries" } ], "chain_of_thought_steps": [ "1. Deconstruct the research request to identify all core components (area, sub-areas, focus, output types).", "2. Formulate targeted search queries for academic databases (e.g., Web of Science, Scopus, arXiv) using keywords derived from 'research_area', 'sub_areas', and 'specific_focus'.", "3. Filter results to prioritize highly cited, recent (last 3-5 years) review articles, comprehensive surveys, and seminal papers.", "4. Systematically extract information related to 'recent advancements', 'challenges', and 'future directions' for both 'materials science' and 'chemistry' applications.", "5. Synthesize extracted information into a structured literature review following the specified 'content_sections', ensuring conciseness and accuracy.", "6. Identify prominent researchers based on frequency of appearance in key papers, citation counts, and editorial roles in relevant journals/conferences.", "7. Propose additional, refined search terms for subsequent searches based on emerging themes or specific technical jargon encountered.", "8. Review and refine all generated outputs for clarity, coherence, and adherence to 'output_requirements'." ], "tone": "academic, concise, informative", "response_format": "JSON, with distinct sections for each output requirement."}