swj0419 / in-context-pretrainingLinks
☆55Updated last year
Alternatives and similar repositories for in-context-pretraining
Users that are interested in in-context-pretraining are comparing it to the libraries listed below
Sorting:
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- ☆88Updated 3 years ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆30Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆23Updated last year
- Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models☆23Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆81Updated 2 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆64Updated last year
- ☆177Updated last year
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆66Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Updated 2 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆64Updated 2 years ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆42Updated 2 years ago
- contrastive decoding☆206Updated 3 years ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆78Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- ☆109Updated 6 months ago
- ☆41Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆200Updated last month
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆38Updated 2 years ago
- ☆88Updated 2 years ago
- ☆23Updated 2 years ago
- ☆64Updated 3 years ago
- ☆43Updated last year
- ☆72Updated last year
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆23Updated last year