kongds / scaling_sentemb
Scaling Sentence Embeddings with Large Language Models
☆104Updated 10 months ago
Alternatives and similar repositories for scaling_sentemb:
Users that are interested in scaling_sentemb are comparing it to the libraries listed below
- ☆60Updated 2 years ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆60Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆65Updated 5 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆64Updated 9 months ago
- A framework for editing the CoTs for better factuality☆48Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆156Updated 7 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆100Updated 4 months ago
- Do Large Language Models Know What They Don’t Know?☆90Updated 2 months ago
- [ACL 2023] This is the code repo for our ACL'23 paper "Augmentation-Adapted Retriever Improves Generalization of Language Models as Gener…☆59Updated 6 months ago
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆161Updated 11 months ago
- Repo for ACL2023 paper "Plug-and-Play Knowledge Injection for Pre-trained Language Models"☆60Updated 9 months ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆79Updated last year
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆126Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆53Updated 9 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆77Updated 11 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't …☆106Updated 6 months ago
- self-adaptive in-context learning☆42Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆96Updated last year
- ☆62Updated last year
- A Survey on Data Selection for Language Models☆203Updated 3 months ago
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆131Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆128Updated last year
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆156Updated last month
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆138Updated 4 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆106Updated 4 months ago
- ☆20Updated last year
- ☆38Updated last year
- Paper list and datasets for the paper: A Survey on Data Selection for LLM Instruction Tuning☆38Updated 11 months ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆99Updated 2 years ago