Benchmarking large language models for short answer grading in a fine-grained, multi-subject, and human-aligned setting.
Early 2026, constant attacks targeted AI-powered enterprise systems, staying on top of security news is critical. This repo demonstrates a pipeline to aggregate and triage IT security news from multiple sources. It uses hybrid retrieval (BM25 + semantic embeddings) with LLM-based reasoning, evaluated against a benchmark dataset.
Clinical trial application for mental health benchmark evaluation of AI responses in multi-turn conversations. Guides users to understand AI interaction patterns and resolve personal mental health issues through therapeutic AI assistance.
To associate your repository with the benchmark-evaluation-llms topic, visit your repo's landing page and select "manage topics."