renll / SparseLTLinks
[EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing
☆14Updated 2 years ago
Alternatives and similar repositories for SparseLT
Users that are interested in SparseLT are comparing it to the libraries listed below
Sorting:
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆24Updated 2 years ago
- ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation☆24Updated 3 years ago
- Task Compass: Scaling Multi-task Pre-training with Task Prefix (EMNLP 2022: Findings) (stay tuned & more will be updated)☆22Updated 2 years ago
- A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semanti…☆21Updated 3 years ago
- This repository is the official implementation of our EMNLP 2022 paper ELMER: A Non-Autoregressive Pre-trained Language Model for Efficie…☆26Updated 2 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 6 months ago
- Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)☆74Updated 3 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆11Updated 2 years ago
- [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators☆25Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation☆41Updated 2 years ago
- Data Valuation on In-Context Examples (ACL23)☆24Updated 8 months ago
- [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…☆21Updated last year
- ☆46Updated last year
- EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560☆57Updated 7 months ago
- Code release for "TempLM: Distilling Language Models into Template-Based Generators"☆14Updated 3 years ago
- ☆13Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆29Updated 3 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆57Updated 2 years ago
- DEMix Layers for Modular Language Modeling☆54Updated 4 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
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- TBC☆27Updated 2 years ago