Papers with open-ended idea generation

2 papers
Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation (2026.findings-acl)

Copied to clipboard

Challenge: Multi-agent systems (MAS) are increasingly used for open-ended idea generation . when and why collective interaction expands the solution space remains unclear .
Approach: They propose to study diversity in multi-agent systems across three bottom-up levels: model intelligence, agent cognition, and system dynamics.
Outcome: The proposed model yields diminishing diversity despite higher quality . the proposed model fails to expand diversity and causes it to collapse .
Inventive Problem Solving with LLMs: A Benchmark for TRIZ Reasoning (2026.findings-acl)

Copied to clipboard

Challenge: Large language models are increasingly used in inventive problem-solving but effective support requires more than open-ended idea generation.
Approach: They propose a dataset and benchmark for TRIZ reasoning grounded in open technical sources and U.S. patents.
Outcome: The proposed framework represents trade-offs and links them to standardized inventive principles.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations