ShiyuNee / When-to-RetrieveLinks
Implementation of "ACL'24: When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation"
☆25Updated 11 months ago
Alternatives and similar repositories for When-to-Retrieve
Users that are interested in When-to-Retrieve are comparing it to the libraries listed below
Sorting:
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆127Updated 9 months ago
- ☆74Updated last year
- ☆45Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- ☆28Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- ☆31Updated 2 months ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated 10 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆26Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆60Updated 8 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Code implementation of synthetic continued pretraining☆117Updated 6 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 11 months ago
- ☆84Updated last year
- ☆31Updated last year
- Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs (ACL 2024)☆67Updated 2 months ago
- Enhancing contextual understanding in large language models through contrastive decoding☆18Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆106Updated 5 months ago
- Official code implementation for the ACL 2025 paper: 'CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis'☆27Updated last month
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- ☆67Updated last year
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"☆58Updated last week
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆20Updated 5 months ago
- [Findings of EMNLP'2024] Unified Active Retrieval for Retrieval Augmented Generation☆22Updated 9 months ago
- Collection of papers for scalable automated alignment.☆92Updated 8 months ago
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago