model-similarity / lm-similarityLinks
☆20Updated 8 months ago
Alternatives and similar repositories for lm-similarity
Users that are interested in lm-similarity are comparing it to the libraries listed below
Sorting:
- ☆33Updated 9 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆35Updated 2 weeks ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆33Updated 8 months ago
- [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?☆81Updated 9 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 11 months ago
- A holistic benchmark for LLM abstention☆55Updated 2 months ago
- ☆86Updated last year
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆29Updated last month
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆136Updated 4 months ago
- Exploration of automated dataset selection approaches at large scales.☆48Updated 7 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 9 months ago
- Improving Your Model Ranking on Chatbot Arena by Vote Rigging (ICML 2025)☆22Updated 8 months ago
- The repository contains code for Adaptive Data Optimization☆26Updated 10 months ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆31Updated 11 months ago
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆73Updated 4 months ago
- ☆51Updated last year
- ☆20Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- ☆16Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 8 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆40Updated 11 months ago
- ☆20Updated 2 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆184Updated last year
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 7 months ago
- Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"☆49Updated last month
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Replicating O1 inference-time scaling laws☆90Updated 11 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated last year
- PyTorch library for Active Fine-Tuning☆93Updated last month
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆39Updated last year