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:
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago
- ☆97Updated 2 years ago
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 5 months ago
- 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
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆56Updated 2 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆96Updated 4 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Updated 4 years ago
- Data Valuation on In-Context Examples (ACL23)☆24Updated 8 months ago
- ☆38Updated 3 years ago
- ☆110Updated 3 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆110Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆31Updated last year
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 3 years ago
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated 11 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated last year
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆74Updated last year
- Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.☆64Updated 9 months 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
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning☆99Updated 2 years ago
- ☆75Updated last year
- ☆89Updated 4 months ago