Alternatives and similar repositories for LM-SupCon

Users that are interested in LM-SupCon are comparing it to the libraries listed below

• Ydongd / prototypical-prompt-verbalizer
  ☆19Updated 3 years ago
• zcgzcgzcg1 / WSDM2023_Knowledge_NLP_Tutorial
  ☆61Updated 2 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆22Updated 2 years ago
• sh0416 / clrcmd
  Official Repository for CLRCMD (Appear in ACL2022)
  ☆42Updated 2 years ago
• RUCAIBox / DCLR
  Code of ACL 2022 paper Debiased Contrastive Learning of Unsupervised Sentence Representations
  ☆31Updated 3 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆102Updated 2 years ago
• eyalbd2 / PADA
  Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".
  ☆51Updated 3 years ago
• xiangyue9607 / QVE
  Code for the ACL2022 paper "Synthetic Question Value Estimation for Domain Adaptation of Question Answering"
  ☆17Updated 3 years ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆29Updated last year
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 3 years ago
• ImKeTT / CTG-latentAEs
  [Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
  ☆51Updated 2 years ago
• nitaytech / DoCoGen
  ☆22Updated 3 years ago
• sl-93 / SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING
  in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.
  ☆59Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆67Updated 2 years ago
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• NLPCode / CBART
  Lexically constrained text generation with CBART.
  ☆49Updated 2 years ago
• yiren-jian / NonLing-CSE
  [NeurIPS 2022] Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
  ☆22Updated 2 years ago
• wutong8023 / PLM4CL
  ICLR 2022
  ☆17Updated 3 years ago
• vickywu1022 / OntoProbe-PLMs
  Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"
  ☆32Updated last year
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆132Updated 2 years ago
• tongshoujie / MATCH-TUNING
  MATCH-TUNING
  ☆15Updated 3 years ago
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• TianduoWang / DiffAug
  [EMNLP 2022] Differentiable Data Augmentation for Contrastive Sentence Representation Learning. https://arxiv.org/abs/2210.16536
  ☆40Updated 2 years ago
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆24Updated 3 years ago
• xinyadu / memory_docie
  ☆13Updated 3 years ago
• txsun1997 / Metric-Fairness
  EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
  ☆41Updated 2 years ago
• iwangjian / Color4Dial
  Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue (ACL Findings 2023)
  ☆22Updated last year
• dqxiu / CaliNet
  ☆33Updated 2 years ago
• yueyu1030 / Patron
  [ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Pr…
  ☆24Updated last year