research-idea-generation

To generate research ideas from a vague LLM project goal, the system surveys recent literature to identify gaps and recurring limitations. It produces three structured candidate directions with thesis, rationale, and benchmark targets.

Evaluating LLM research directions involves scoring each candidate on novelty, feasibility, cost, and evaluation clarity. The system ranks the directions, selects the best option, and explains the upside versus execution risk.

Yes, you can generate structured research proposals starting with only sparse goals and no concrete datasets. The system identifies promising testable directions from literature limitations and provides structured subpoints for each candidate.

Literature review identifies promising LLM research gaps by scanning recent work to find underexplored settings and recurring limitations. This mechanism transforms vague project goals into testable directions with clear benchmark targets.

A limitation of generating testable research directions is the reliance on surveying recent literature to identify gaps. If the project goal lacks context or the field is nascent, the feasibility and cost scoring may require manual refinement.