p-lambda / incontext-learning

Related projects ⓘ

Alternatives and complementary repositories for incontext-learning

• FranxYao / Distributional-Generalization-in-Natural-Language-Processing
  Distributional Generalization in NLP. A roadmap.
  ☆86Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆84Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆69Updated last year
• qkaren / COLD_decoding
  ☆104Updated 2 years ago
• google-deepmind / emergent_in_context_learning
  ☆77Updated 3 months ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆47Updated last year
• KihoPark / linear_rep_geometry
  ☆75Updated 9 months ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆36Updated 2 years ago
• zlin7 / UQ-NLG
  ☆75Updated 4 months ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated last year
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆87Updated 5 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆69Updated 8 months ago
• McGill-NLP / polytropon
  ☆51Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆68Updated 7 months ago
• roeehendel / icl_task_vectors
  ☆78Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆73Updated last year
• dtsip / in-context-learning
  ☆197Updated 5 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• activatedgeek / calibration-tuning
  ☆34Updated 3 months ago
• linlu-qiu / lm-inductive-reasoning
  ☆28Updated 11 months ago
• aNOnWhyMooS / connectivity
  ☆17Updated 9 months ago
• jzbjyb / lm-calibration
  ☆32Updated 2 years ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆41Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆51Updated last year
• gregorbachmann / Next-Token-Failures
  ☆65Updated 7 months ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆157Updated 5 months ago
• google-research / jax-influence
  ☆59Updated 2 years ago
• epfml / llm-baselines
  NanoGPT-like codebase for LLM training
  ☆73Updated this week