HanNight / AdaCADLinks
Code for NAACL 2025 paper "AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge"
☆13Updated 9 months ago
Alternatives and similar repositories for AdaCAD
Users that are interested in AdaCAD are comparing it to the libraries listed below
Sorting:
- ☆87Updated 2 years ago
- ☆33Updated 2 years ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆72Updated 3 years ago
- ☆74Updated last year
- ☆45Updated last year
- ☆28Updated last year
- ☆41Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- ☆64Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- Repo for paper: Controllable Text Generation with Language Constraints☆20Updated 2 years ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 11 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆66Updated last year
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆23Updated 10 months ago
- ☆33Updated last year
- ☆46Updated 7 months ago
- ☆52Updated last year
- WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…☆47Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- ☆32Updated last year
- Do Large Language Models Know What They Don’t Know?☆97Updated 8 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year