HanNight / AdaCADLinks
Code for NAACL 2025 paper "AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge"
☆13Updated 10 months ago
Alternatives and similar repositories for AdaCAD
Users that are interested in AdaCAD are comparing it to the libraries listed below
Sorting:
- ☆88Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago
- ☆41Updated last year
- ☆47Updated last year
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆73Updated 3 years ago
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated 2 years ago
- ☆75Updated last year
- ☆28Updated last year
- ☆17Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- ☆33Updated 2 years ago
- ☆49Updated 9 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 11 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- ☆53Updated last year
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆32Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated 2 years ago
- ☆63Updated 2 years ago
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆22Updated 11 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆75Updated 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
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆71Updated last year
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- Data and Code for EMNLP 2023 paper "QTSumm: Query-Focused Summarization over Tabular Data"☆22Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago