swj0419 / in-context-pretrainingLinks
☆54Updated 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
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- ☆87Updated 3 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆61Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated 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☆80Updated 2 years ago
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆37Updated 2 years ago
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆66Updated 2 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- ☆177Updated last year
- ☆24Updated 2 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆103Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆30Updated last year
- contrastive decoding☆204Updated 3 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆126Updated last year
- ☆88Updated 2 years ago
- ☆64Updated 3 years ago
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆78Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆193Updated last year
- ☆44Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- ☆103Updated last year
- Analyzing LLM Alignment via Token distribution shift☆17Updated last year
- ☆41Updated 2 years ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆119Updated last year
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- ☆57Updated last year