Bocchi7 / DRAGIN_simplifiedLinks
☆20Updated last year
Alternatives and similar repositories for DRAGIN_simplified
Users that are interested in DRAGIN_simplified are comparing it to the libraries listed below
Sorting:
- Source code of DRAGIN, ACL 2024 main conference Long Paper (Oral)☆162Updated last week
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"☆63Updated 2 months ago
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆235Updated last year
- Official repository of paper "Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models"☆21Updated 3 months ago
- Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation☆52Updated 9 months ago
- Code Repo for EfficientRAG: Efficient Retriever for Multi-Hop Question Answering☆57Updated 6 months ago
- Official Code for the paper "SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs" (ICLR 2024)☆26Updated last year
- Source code of our paper MIND, ACL 2024 Long Paper☆50Updated last year
- The code and data of DPA-RAG, accepted by WWW 2025 main conference.☆62Updated 8 months ago
- ☆11Updated 10 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆137Updated last year
- Code for the paper: Metacognitive Retrieval-Augmented Large Language Models☆34Updated last year
- A collection of survey papers and resources related to Large Language Models (LLMs).☆40Updated last year
- [ICLR2024] Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources☆69Updated last year
- Implementation of "REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering"☆34Updated 10 months ago
- ☆60Updated 8 months ago
- ☆24Updated 2 years ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆123Updated 7 months ago
- Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs (ACL 2024)☆71Updated 4 months ago
- ☆31Updated 4 months ago
- ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation☆42Updated last week
- Official repository for RAG-Gym☆112Updated 6 months ago
- ☆15Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆73Updated last year
- ☆163Updated last year
- ☆81Updated this week
- Implementation of "ACL'24: When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation"☆24Updated last year
- ☆28Updated last year
- ☆47Updated last year
- Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP 2024 Main☆62Updated 11 months ago