Alternatives and similar repositories for DataICL:

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

• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated 11 months ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 8 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• violet-zct / swarm-distillation-zero-shot
  ☆22Updated 2 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆21Updated 2 years ago
• SumilerGAO / SunGen
  ☆25Updated 2 years ago
• unbiarirang / Fixed-Input-Parameterization
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆32Updated 7 months ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆21Updated last month
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆27Updated last year
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆35Updated 10 months ago
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago
• csarron / BTR
  ☆16Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 3 months ago
• PrasannS / rlhf-length-biases
  ☆28Updated last year
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆53Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆76Updated last year
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆24Updated 3 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 2 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 3 years ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 8 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 5 months ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• yanaiela / pararel
  ☆44Updated last year