OpenMatch / Augmentation-Adapted-RetrieverLinks
[ACL 2023] This is the code repo for our ACL'23 paper "Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In".
☆60Updated last year
Alternatives and similar repositories for Augmentation-Adapted-Retriever
Users that are interested in Augmentation-Adapted-Retriever are comparing it to the libraries listed below
Sorting:
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆82Updated 2 years ago
- Code implementation of synthetic continued pretraining☆148Updated last year
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆28Updated 2 years ago
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated 2 years ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆129Updated last year
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"☆69Updated 7 months ago
- Scaling Sentence Embeddings with Large Language Models☆108Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆151Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆137Updated 9 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated 2 years ago
- ☆87Updated 2 years ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated 2 years ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆81Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 8 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- https://acl2023-retrieval-lm.github.io/☆156Updated 2 years ago
- [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.☆52Updated 2 years ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated 2 years ago
- [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token☆172Updated last year
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆62Updated 2 years ago
- A framework for editing the CoTs for better factuality☆50Updated 2 years ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆43Updated last year
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆136Updated 2 years ago
- ☆294Updated 2 years ago
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆249Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆187Updated 7 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆119Updated last year
- ☆138Updated 2 years ago