EleutherAGI / summarisation
The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as this has been done by OpenAI and provides a good benchmark to compare against. We will use this intermediate step as a way to lay the groundwork needed for on the fly learning using implicit models.
☆12Updated 3 years ago
Alternatives and similar repositories for summarisation:
Users that are interested in summarisation are comparing it to the libraries listed below
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆27Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated last year
- ☆23Updated 3 years ago
- Learning to Model Editing Processes☆26Updated 2 years ago
- Repository for Skill Set Optimization☆12Updated 8 months ago
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆15Updated last month
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- This repo contains code for the paper "Psychologically-informed chain-of-thought prompts for metaphor understanding in large language mod…☆14Updated last year
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated 2 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆23Updated 2 years ago
- The InterScript dataset contains interactive user feedback on scripts generated by a T5-XXL model.☆11Updated 3 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆48Updated 3 years ago
- ☆16Updated last year
- ☆23Updated 6 months ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 2 months ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Agents that build knowledge graphs and explore textual worlds by asking questions☆79Updated last year
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Byte-sized text games for code generation tasks on virtual environments☆19Updated 8 months ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- A framework for implementing equivariant DL☆10Updated 3 years ago
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated 3 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆15Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- AdaCat☆49Updated 2 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 10 months ago
- Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22☆64Updated 2 years ago
- One stop shop for all things carp☆59Updated 2 years ago