Alternatives and similar repositories for ContinualLM

Users that are interested in ContinualLM are comparing it to the libraries listed below

• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆245Updated 3 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆504Updated 6 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆354Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆309Updated 10 months ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆144Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆269Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆258Updated last year
• xiaoya-li / Instruction-Tuning-Survey
  Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
  ☆182Updated 8 months ago
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆245Updated last year
• prateeky2806 / ties-merging
  ☆185Updated last year
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆255Updated last year
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆340Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆397Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆474Updated 9 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆547Updated last year
• Wang-ML-Lab / llm-continual-learning-survey
  [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
  ☆439Updated 2 months ago
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆206Updated 2 years ago
• getao / icae
  The repo for In-context Autoencoder
  ☆133Updated last year
• AI21Labs / in-context-ralm
  ☆284Updated last year
• zhilizju / Awesome-instruction-tuning
  A curated list of awesome instruction tuning datasets, models, papers and repositories.
  ☆336Updated 2 years ago
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆203Updated 2 years ago
• swj0419 / detect-pretrain-code
  This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…
  ☆228Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆497Updated last year
• allenai / FineGrainedRLHF
  ☆278Updated 7 months ago
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆372Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆172Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆622Updated last month
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆345Updated last year
• HITsz-TMG / awesome-llm-attributions
  A Survey of Attributions for Large Language Models
  ☆207Updated 11 months ago
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆98Updated 3 weeks ago