RewardReports / reward-reportsLinks
Documentation for dynamic machine learning systems.
☆29Updated last year
Alternatives and similar repositories for reward-reports
Users that are interested in reward-reports are comparing it to the libraries listed below
Sorting:
- Ludwig benchmark☆19Updated 3 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated 2 years ago
- Finding semantically meaningful and accurate prompts.☆48Updated 2 years ago
- Google Research☆46Updated 3 years ago
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 3 years ago
- For experiments involving instruct gpt. Currently used for documenting open research questions.☆71Updated 3 years ago
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Updated 4 years ago
- ☆14Updated last year
- Bayesian scaling laws for in-context learning.☆15Updated 10 months ago
- Minimum Description Length probing for neural network representations☆20Updated last year
- ☆29Updated 2 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- ☆39Updated last year
- Super fast implementations of common benchmark text world games☆52Updated 5 months ago
- ☆24Updated last year
- INTeractive learning via REPresentatIon Discovery☆36Updated last year
- Understanding how features learned by neural networks evolve throughout training☆41Updated last year
- This repo contains code for the paper "Psychologically-informed chain-of-thought prompts for metaphor understanding in large language mod…☆14Updated 2 years ago
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆40Updated 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
- ☆76Updated last year
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated last year
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆61Updated 3 years ago
- Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment☆38Updated 2 years ago
- AAAI 2022 Paper: Bet even Beth Harmon couldn't learn chess like that :)☆38Updated 4 years ago
- ☆18Updated last year
- LLM Dynamic Planner - Combining LLM with PDDL Planners to solve an embodied task☆48Updated last year
- ☆56Updated 2 years ago