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:
- Methods and evaluation for aligning language models temporally☆30Updated last year
- ☆41Updated 2 years ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆71Updated 3 years ago
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- Repository for our paper "DeepEdit: Knowledge Editing as Decoding with Constraints". https://arxiv.org/abs/2401.10471☆21Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- ☆64Updated 3 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Updated last year
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- ☆48Updated 2 years ago
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆173Updated last year
- A Survey of Hallucination in Large Foundation Models☆56Updated 2 years ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆119Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆37Updated last year
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆132Updated 2 years ago
- self-adaptive in-context learning☆45Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆42Updated 2 years ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆152Updated 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…☆129Updated last year
- Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"☆32Updated 7 months ago
- [EMNLP 2025 Findings] Familiarity-aware Evidence Compression for Retrieval Augmented Generation☆14Updated 5 months ago
- ☆88Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆64Updated 3 years ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆36Updated 2 years ago
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text☆32Updated 2 years ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆49Updated 2 years ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆53Updated last year