FLARE-AI: Flaw Reporting for AI
A public system for reporting and coordinating disclosure of flaws in AI systems.
Publications
A featured selection with emphasis on venue, awards, public infrastructure, media coverage, and reusable research artifacts.
Selected from 42 papers, 12k+ citations, and six best or outstanding paper awards.
Full Paper ListA public system for reporting and coordinating disclosure of flaws in AI systems.
An empirical study of user thought processes during real-world LLM interactions.
Practical scaling laws for multilingual transfer across pretraining, finetuning, and decoding.


A practical framework for designing rigorous benchmarks for agentic systems.
An 8TB public-domain and openly licensed text corpus for rights-conscious model training.


A fine-grained language generation benchmark built around principled model-based judging.
A survey and practical map of tools for responsible foundation model development.







For the complete bibliography and citation record.
Full Paper List