nathanhu0 / CaMeLSLinks
Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
☆25Updated last year
Alternatives and similar repositories for CaMeLS
Users that are interested in CaMeLS are comparing it to the libraries listed below
Sorting:
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 2 months ago
- The repository contains code for Adaptive Data Optimization☆29Updated 11 months ago
- ☆20Updated last month
- ☆106Updated last year
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆61Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆24Updated 7 months ago
- Exploration of automated dataset selection approaches at large scales.☆50Updated 9 months ago
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 2 months ago
- Data Valuation on In-Context Examples (ACL23)☆24Updated 10 months ago
- ☆23Updated 2 weeks ago
- ☆76Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 10 months ago
- ☆45Updated 2 years ago
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 8 months ago
- ☆38Updated 3 years ago
- ☆33Updated 11 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated 2 years ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆36Updated 3 years ago
- ☆52Updated last year
- SILO Language Models code repository☆83Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year