Alternatives and similar repositories for swarm-distillation-zero-shot

Users that are interested in swarm-distillation-zero-shot are comparing it to the libraries listed below

• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• gmftbyGMFTBY / MomentumDecoding
  Momentum Decoding: Open-ended Text Generation as Graph Exploration
  ☆19Updated 2 years ago
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆24Updated 3 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆39Updated 2 years ago
• dmis-lab / TouR
  Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval
  ☆30Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 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
• jzbjyb / lm-calibration
  ☆35Updated 4 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• GEM-benchmark / GEM-metrics
  Automatic metrics for GEM tasks
  ☆67Updated 3 years ago
• gmftbyGMFTBY / Rep-Dropout
  [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
  ☆37Updated 2 years ago
• suzgunmirac / crowd-sampling
  Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
  ☆18Updated 3 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆20Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆104Updated 3 years ago
• NoviScl / GPT3-Reliability
  ☆79Updated 2 years ago
• yanzhangnlp / BSL
  Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
  ☆30Updated 3 years ago
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆45Updated 2 years ago
• thunlp / DPT
  ☆13Updated 3 years ago
• yoonkim / neural-qcfg
  ☆45Updated 4 years ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• zhongwanjun / CARP
  code for the table-based open domain question answering project, with paper title: "Reasoning over Hybrid Chain for Table-and-Text Open D…
  ☆12Updated 3 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆21Updated 3 years ago
• yanaiela / pararel
  ☆47Updated last year
• naver / gdc
  Code accompanying our papers on the "Generative Distributional Control" framework
  ☆118Updated 2 years ago
• allenai / hyperdecoders
  Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304
  ☆13Updated 3 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆74Updated 3 years ago
• INK-USC / CrossFit
  Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
  ☆113Updated 3 years ago
• txsun1997 / Metric-Fairness
  EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
  ☆41Updated 3 years ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago