KomeijiForce / CoTAMLinks
Official Implementation of the ACL2024 Findings paper "Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation"
☆19Updated last year
Alternatives and similar repositories for CoTAM
Users that are interested in CoTAM are comparing it to the libraries listed below
Sorting:
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 9 months ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- ☆63Updated 2 years ago
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆171Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- ☆41Updated 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
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆68Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆99Updated 9 months ago
- ☆47Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 11 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated 11 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆60Updated 2 years ago
- Active Example Selection for In-Context Learning (EMNLP'22)☆49Updated last year
- ☆178Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆71Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 9 months ago
- ☆23Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆74Updated last year
- ☆87Updated 2 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Lightweight tool to identify Data Contamination in LLMs evaluation☆51Updated last year
- AbstainQA, ACL 2024☆28Updated 10 months ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- ☆74Updated last year