sibyl-dev / ExplingoLinks
Explaining ML models using LLMs
☆22Updated 7 months ago
Alternatives and similar repositories for Explingo
Users that are interested in Explingo are comparing it to the libraries listed below
Sorting:
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆10Updated 2 months ago
- ☆18Updated 3 months ago
- ☆19Updated 10 months ago
- Privacy backdoors☆51Updated last year
- ☆25Updated 3 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆35Updated 7 months ago
- ☆19Updated 2 months ago
- Aioli: A unified optimization framework for language model data mixing☆27Updated 4 months ago
- ☆28Updated 3 months ago
- ☆22Updated 5 months ago
- AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies☆21Updated 9 months ago
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆14Updated 9 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆27Updated 3 months ago
- ☆18Updated 2 weeks ago
- The repository contains code for Adaptive Data Optimization☆24Updated 5 months ago
- ☆31Updated last year
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆26Updated 7 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆87Updated 6 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆57Updated 9 months ago
- ☆14Updated last year
- Generating and validating natural-language explanations for the brain.☆52Updated 2 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆30Updated 4 months ago
- ☆32Updated 5 months ago
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆35Updated 3 months ago
- ☆14Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆92Updated this week
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 10 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆56Updated 3 months ago
- Recycling diverse models☆44Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated last year