Alternatives and similar repositories for training_trajectory_analysis

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

• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆23Updated 7 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated 2 years ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 3 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆39Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆24Updated 9 months ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• bigscience-workshop / architecture-objective
  ☆98Updated 2 years ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆47Updated last year
• 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
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated 11 months ago
• seonghyeonye / TAPP
  [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
  ☆78Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 3 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
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• cambridgeltl / zepo
  Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)
  ☆13Updated last year
• qkaren / COLD_decoding
  ☆112Updated 3 years ago
• da03 / Residual-EBM
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆25Updated 4 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• guy-dar / embedding-space
  ☆55Updated 2 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆97Updated 4 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• cambridgeltl / composable-sft
  A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
  ☆75Updated last year