da03 / Residual-EBM
Code for Residual Energy-Based Models for Text Generation in PyTorch.
☆23Updated 3 years ago
Alternatives and similar repositories for Residual-EBM:
Users that are interested in Residual-EBM are comparing it to the libraries listed below
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆21Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated last year
- ☆44Updated last year
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated last year
- ☆67Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆41Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆21Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 2 years ago
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆11Updated 2 years ago
- ☆36Updated 11 months ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆21Updated 4 years ago
- ☆105Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆27Updated last year
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆53Updated last year
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆37Updated 2 years ago
- ☆13Updated 2 years ago
- SocialDial: A Benchmark for Socially-Aware Dialogue Systems (SIGIR'23)☆13Updated last year
- Complexity Based Prompting for Multi-Step Reasoning☆17Updated 2 years ago
- ☆22Updated 2 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆31Updated last year
- Codebase for running (conditional) probing experiments☆23Updated 2 years ago
- EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation☆41Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆26Updated 2 years ago
- ☆25Updated 2 years ago
- TBC☆26Updated 2 years ago
- A framework to train language models to learn invariant representations.☆13Updated 3 years ago