sibyl-dev / ExplingoLinks
Explaining ML models using LLMs
☆22Updated 10 months ago
Alternatives and similar repositories for Explingo
Users that are interested in Explingo are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆91Updated 9 months ago
- A holistic benchmark for LLM abstention☆48Updated last week
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆125Updated 2 months ago
- BigOBench assesses the capacity of Large Language Models (LLMs) to comprehend time-space computational complexity of input or generated c…☆37Updated 4 months ago
- ☆20Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆72Updated last year
- ☆14Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- ☆28Updated 6 months ago
- ☆32Updated 10 months ago
- ☆18Updated last month
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆35Updated 2 weeks ago
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆14Updated 5 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆39Updated 10 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"☆110Updated 11 months ago
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆36Updated last year
- NeurIPS'24 - LLM Safety Landscape☆28Updated 6 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated 3 weeks ago
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆70Updated 2 months ago
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated last year
- ☆27Updated last year
- ☆19Updated last month
- ☆77Updated 7 months ago
- Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023☆36Updated last year
- Codebase for Instruction Following without Instruction Tuning☆35Updated 11 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆29Updated 6 months ago
- ☆22Updated 8 months ago
- ☆19Updated 5 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 7 months ago