Alternatives and similar repositories for emergent_in_context_learning

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

• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆108Updated last year
• gregorbachmann / Next-Token-Failures
  ☆99Updated last year
• belindal / LaMPP
  Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action
  ☆37Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆110Updated 2 years ago
• lil-lab / kilogram
  The KiloGram Tangrams dataset
  ☆55Updated 4 months ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆45Updated last year
• nouhadziri / faith-and-fate
  ☆35Updated last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆163Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• linlu-qiu / lm-inductive-reasoning
  ☆33Updated last year
• microsoft / RLHF-APA
  RL algorithm: Advantage induced policy alignment
  ☆65Updated 2 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 4 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
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• tianjunz / HIR
  ☆159Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆67Updated last year
• Shark-NLP / CAB
  ☆31Updated 2 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆98Updated last year
• bigscience-workshop / architecture-objective
  ☆97Updated 2 years ago
• guy-dar / embedding-space
  ☆54Updated 2 years ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 3 years ago
• Sea-Snell / Implicit-Language-Q-Learning
  Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
  ☆209Updated 2 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago