Alternatives and similar repositories for LPT

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

• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• guanzhchen / PETuning
  ☆34Updated 2 years ago
• shmsw25 / Channel-LM-Prompting
  An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
  ☆131Updated 3 years ago
• princeton-nlp / Cognac
  Repo for paper: Controllable Text Generation with Language Constraints
  ☆20Updated 2 years ago
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆59Updated 3 years ago
• dqxiu / CaliNet
  ☆32Updated 3 years ago
• Mayer123 / UDT-QA
  Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)
  ☆56Updated 2 years ago
• OhadRubin / EPR
  ☆64Updated 3 years ago
• txsun1997 / Black-Box-Tuning
  ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…
  ☆273Updated 3 years ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆37Updated 2 years ago
• tongshoujie / MATCH-TUNING
  MATCH-TUNING
  ☆15Updated 3 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• Shark-NLP / EVALM
  Official codebase for “In-Context Learning with Many Demonstration Examples”
  ☆16Updated 2 years ago
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated 2 years ago
• Shengqiang-Zhang / plate
  Code for the paper "Attention Temperature Matters in Abstractive Summarization Distillation"(https://arxiv.org/abs/2106.03441)
  ☆13Updated 3 years ago
• RunxinXu / ChildTuning
  Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
  ☆62Updated 4 years ago
• lemaoliu / retrieval-generation-reading-list
  This project maintains a reading list for general text generation tasks
  ☆66Updated 4 years ago
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆62Updated 3 years ago
• Alrope123 / rethinking-demonstrations
  ☆177Updated last year
• HappyGu0524 / MultiControl
  ☆42Updated 2 years ago
• exe1023 / DialEvalMetrics
  ☆62Updated 3 years ago
• DevSinghSachan / unsupervised-passage-reranking
  Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
  ☆100Updated 3 years ago
• Nealcly / KE-Blender
  Code for KE-Blender, EMNLP 2021
  ☆18Updated 3 years ago
• swj0419 / in-context-pretraining
  ☆55Updated last year
• xiami2019 / CLAIF
  [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback
  ☆40Updated 2 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆16Updated 2 years ago
• drogozhang / LED
  Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)
  ☆22Updated 2 years ago
• TianduoWang / MsAT
  [ACL 2023] Learning Multi-step Reasoning by Solving Arithmetic Tasks. https://arxiv.org/abs/2306.01707
  ☆24Updated 2 years ago