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Semantic Navigation for AI-assisted Ideation

https://doi.org/10.2139/ssrn.5011167
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1037/0022-3514.53.3.497openalex-snapshot
Productivity loss in brainstorming groups: Toward the solution of a riddle.
inferredcites →https://doi.org/10.1145/3411764.3445270openalex-snapshot
IdeaBot: Investigating Social Facilitation in Human-Machine Team Creativity
inferredcites →https://doi.org/10.1145/3527927.3535197openalex-snapshot
The Idea Machine: LLM-based Expansion, Rewriting, Combination, and Suggestion of Ideas
inferredcites →https://doi.org/10.1145/3613904.3642919openalex-snapshot
The Effects of Generative AI on Design Fixation and Divergent Thinking
inferredcites →https://doi.org/10.1145/3626246.3653385openalex-snapshot
Data-Juicer: A One-Stop Data Processing System for Large Language Models
inferredcites →https://doi.org/10.1145/570907.570945openalex-snapshot
Creativity support tools
inferredcites →https://doi.org/10.2139/ssrn.4708466openalex-snapshot
Prompting Diverse Ideas: Increasing AI Idea Variance
inferredcites →https://doi.org/10.2307/2393872openalex-snapshot
Brainstorming Groups in Context: Effectiveness in a Product Design Firm
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2106.09685openalex-snapshot
LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2305.08291openalex-snapshot
Large Language Model Guided Tree-of-Thought
inferredcites →https://doi.org/10.48550/arxiv.2309.12570openalex-snapshot
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
inferredcites →https://doi.org/10.48550/arxiv.2310.06155openalex-snapshot
CoQuest: Exploring Research Question Co-Creation with an LLM-based Agent
inferredcites →https://doi.org/10.48550/arxiv.2409.04109openalex-snapshot
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
inferredcites →https://doi.org/10.52202/068431-0142openalex-snapshot
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
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