xiamengzhou / training_trajectory_analysisLinks
[ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
☆24Updated last year
Alternatives and similar repositories for training_trajectory_analysis
Users that are interested in training_trajectory_analysis are comparing it to the libraries listed below
Sorting:
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 3 months ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆76Updated last year
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆38Updated 2 years ago
- ☆39Updated 3 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆46Updated last year
- ☆97Updated last year
- Data Valuation on In-Context Examples (ACL23)☆23Updated 6 months ago
- Few-shot Learning with Auxiliary Data☆28Updated last year
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆58Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆55Updated 2 years ago
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- ☆27Updated last year
- ☆29Updated last year
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆27Updated 2 years ago
- Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.☆64Updated 7 months ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆77Updated 2 years ago
- Code for the PAPA paper☆27Updated 2 years ago
- This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Ca…☆61Updated 2 years ago
- ☆44Updated 10 months ago
- In-context Example Selection with Influences☆15Updated 2 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- ☆45Updated last year
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆94Updated 3 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆108Updated 2 years ago
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆42Updated 2 years ago