UIC-Liu-Lab / ContinualLMLinks
An Extensible Continual Learning Framework Focused on Language Models (LMs)
☆286Updated last year
Alternatives and similar repositories for ContinualLM
Users that are interested in ContinualLM are comparing it to the libraries listed below
Sorting:
- Must-read Papers on Large Language Model (LLM) Continual Learning☆145Updated last year
- A Survey on Data Selection for Language Models☆250Updated 5 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆312Updated last year
- DSIR large-scale data selection framework for language model training☆259Updated last year
- ☆270Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆516Updated 8 months ago
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆187Updated last month
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆360Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆341Updated last year
- ☆192Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆378Updated last year
- [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey☆455Updated 4 months ago
- Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)☆210Updated 2 years ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆400Updated last year
- Datasets for Instruction Tuning of Large Language Models☆255Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆247Updated last year
- Data and Code for Program of Thoughts [TMLR 2023]☆286Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆496Updated 11 months ago
- RewardBench: the first evaluation tool for reward models.☆638Updated 3 months ago
- A Survey of Attributions for Large Language Models☆215Updated last year
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)☆263Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆499Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆547Updated 11 months ago
- ☆280Updated 8 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆353Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆549Updated 8 months ago
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆245Updated last year
- contrastive decoding☆203Updated 2 years ago
- PASTA: Post-hoc Attention Steering for LLMs☆123Updated 10 months ago