Alternatives and similar repositories for T0_continual_learning

Users that are interested in T0_continual_learning are comparing it to the libraries listed below

• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated 2 years ago
• MikeWangWZHL / Zemi
  Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
  ☆16Updated 2 years ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• thunlp / DPT
  ☆13Updated 3 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆39Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆24Updated 3 years ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆31Updated last year
• yxuansu / Contrastive_Search_versus_Contrastive_Decoding
  An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
  ☆27Updated last year
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• kaistAI / factual-knowledge-acquisition
  ☆23Updated 2 weeks ago
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆24Updated 11 months ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• renll / SparseLT
  [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing
  ☆14Updated 2 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• kaistAI / GAP
  [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
  ☆29Updated last year
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆34Updated 4 years ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated 2 months ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• swj0419 / kNN_prompt
  TBC
  ☆28Updated 3 years ago
• princeton-nlp / align-mlm
  ☆13Updated 3 years ago
• yanaiela / pararel
  ☆47Updated last year
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆82Updated 3 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆109Updated 2 years ago