Alternatives and similar repositories for incontext-learning

Users that are interested in incontext-learning are comparing it to the libraries listed below

• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆93Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆75Updated last year
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• qkaren / COLD_decoding
  ☆107Updated 3 years ago
• FranxYao / Distributional-Generalization-in-Natural-Language-Processing
  Distributional Generalization in NLP. A roadmap.
  ☆88Updated 2 years ago
• roeehendel / icl_task_vectors
  ☆95Updated last year
• aNOnWhyMooS / connectivity
  ☆18Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆46Updated last year
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆67Updated 2 years ago
• google / belief-localization
  This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Ca…
  ☆61Updated 2 years ago
• saprmarks / geometry-of-truth
  ☆85Updated 10 months ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 3 years ago
• KihoPark / linear_rep_geometry
  ☆95Updated 4 months ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• gregorbachmann / Next-Token-Failures
  ☆85Updated last year
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆58Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆27Updated 9 months ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆55Updated 2 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• krishnap25 / mauve-experiments
  ☆38Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• GXimingLu / Quark
  ☆75Updated last year
• nouhadziri / faith-and-fate
  ☆34Updated last year
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆30Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆108Updated last year
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆21Updated last year