facebookresearch / lss_eval
This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found here
☆31Updated last year
Alternatives and similar repositories for lss_eval:
Users that are interested in lss_eval are comparing it to the libraries listed below
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆31Updated last year
- Code for the examples presented in the talk "Training a Llama in your backyard: fine-tuning very large models on consumer hardware" given…☆14Updated last year
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- Repository containing the SPIN experiments on the DIBT 10k ranked prompts☆24Updated last year
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆48Updated last year
- Minimum Description Length probing for neural network representations☆19Updated 3 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Code repo for "Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers" (ACL 2023)☆22Updated last year
- Embedding Recycling for Language models☆38Updated last year
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆34Updated last year
- Aioli: A unified optimization framework for language model data mixing☆25Updated 3 months ago
- Repository for Skill Set Optimization☆12Updated 9 months ago
- ☆33Updated 10 months ago
- ☆23Updated 3 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- ☆14Updated 7 months ago
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆42Updated 5 months ago
- [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization☆29Updated 7 months ago
- ☆36Updated this week
- ☆15Updated 3 weeks ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- ☆32Updated 2 years ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆19Updated 3 months ago
- ☆57Updated 7 months ago
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆31Updated 10 months ago
- [EACL 2023] CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification☆40Updated 2 years ago
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- ☆19Updated 3 weeks ago
- ☆16Updated this week
- ☆44Updated 5 months ago