Focal Interest
Focal Interest

Explainable Artificial Intelligence (XAI)

External reference: https://openalex.org/T12026

  1. RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines
    Raggy enables rapid experimentation in retrieval-augmented generation pipelines through composable primitives and interactive debugging, reducing development friction.
  2. Smarter Together: Enhancing Human-AI Collaborative Grading With Teacher-Cognition Multi-Agent LLM Framework
    TC-MAG framework uses multi-agent AI to improve automated grading of open-ended student responses with explainable partial credit assessment and teacher oversight capabilities.
  3. A benchmark of expert-level academic questions to assess AI capabilities
    HLE benchmark reveals substantial gap between state-of-the-art LLMs and expert human performance on 2,500 closed-ended academic questions across mathematics, humanities, and natural sciences.