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Notes on fairness
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NNV3: Expanding Neural Network Verification to New Architectures and Domains
The preprint presents NNV3, a MATLAB framework for formal verification of neural networks. It describes ModelStar for weight perturbation, VolumeStar for video and 3D inputs, GraphStar for graph neural networks…
Linguistic Triggers of Gender and Racial Bias in Open-Weight LLMs Applied to Recruitment
The authors evaluate six open-weight models across recruiter- and job-seeker-simulation tasks, varying job-posting language and persona conditions. The abstract reports gender and racial effects linked to agentic and…
Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning
Researchers propose a new benchmark, FAIRGET, to evaluate the effectiveness of machine unlearning in multimodal large language models under unbalanced, realistic scenarios. They also introduce FAUN, an unlearning…
Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)
A new framework called AURORA-AI was proposed to manage resources for AI systems that operate under changing conditions. The framework optimizes a global utility that includes factors like predictive performance…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
