Alternatives and similar repositories for iprompt

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

• EleutherAI / semantic-memorization
  ☆44Updated 10 months ago
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆39Updated 2 years ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• qrdlgit / graph-of-thoughts
  Based on the tree of thoughts paper
  ☆48Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 7 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆27Updated 8 months ago
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago
• xingyaoww / LeTI
  Official repo for NAACL 2024 Findings paper "LeTI: Learning to Generate from Textual Interactions."
  ☆64Updated 2 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• kumar-shridhar / Screws
  SCREWS: A Modular Framework for Reasoning with Revisions
  ☆27Updated 2 years ago
• ShiZhengyan / PowerfulPromptFT
  [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…
  ☆76Updated last year
• guy-dar / embedding-space
  ☆54Updated 2 years ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• boschresearch / switchprompt
  Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domain…
  ☆52Updated 2 years ago
• curai / curai-research
  ☆95Updated 9 months ago
• swarnaHub / ExplanationIntervention
  [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind
  ☆66Updated last year
• MurtyShikhar / LanguagePatching
  Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
  ☆19Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆89Updated last year
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• ctlllll / understanding_llm_benchmarks
  Understanding the correlation between different LLM benchmarks
  ☆29Updated last year
• stanfordnlp / multi-distribution-retrieval
  Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval
  ☆15Updated last year
• allenai / SciRIFF
  Dataset and evaluation suite enabling LLM instruction-following for scientific literature understanding.
  ☆42Updated 6 months ago
• google-research-datasets / swim-ir
  SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…
  ☆49Updated last year
• tanyuqian / cappy
  NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
  ☆44Updated last year
• jaehunjung1 / cascaded-selective-evaluation
  ☆26Updated 7 months ago
• CarperAI / squeakily
  A library for squeakily cleaning and filtering language datasets.
  ☆47Updated 2 years ago
• nyu-mll / ILF-for-code-generation
  ☆78Updated 6 months ago
• automix-llm / automix
  Mixing Language Models with Self-Verification and Meta-Verification
  ☆110Updated 9 months ago