stanfordnlp/axbench
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
[ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
$ git clone https://github.com/Alsace08/Chain-of-Embedding.gitStanford NLP Python library for benchmarking the utility of LLM interpretability methods
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[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking
🔥🔥🔥[AAAI 2026 Oral] Official Implementation of Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
Interpretability for sequence generation models 🐛 🔍
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
Jacobian-Brainwash : A manual alignment tool for large language models built on Anthropic's Jacobian Lens. Results are exportable.
Data from GitHub · snapshot Nov 13, 2026