terarachang / DataICL
Data Valuation on In-Context Examples (ACL23)
☆23Updated last month
Alternatives and similar repositories for DataICL:
Users that are interested in DataICL are comparing it to the libraries listed below
- Restore safety in fine-tuned language models through task arithmetic☆26Updated 10 months ago
- ☆44Updated 5 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated 9 months ago
- Few-shot Learning with Auxiliary Data☆26Updated last year
- Adding new tasks to T0 without catastrophic forgetting☆32Updated 2 years ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆46Updated 2 years ago
- AbstainQA, ACL 2024☆25Updated 4 months ago
- ☆25Updated last year
- Code for "Universal Adversarial Triggers Are Not Universal."☆16Updated 9 months ago
- ☆22Updated 2 years ago
- ☆13Updated 11 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆37Updated 2 years ago
- ✨ Resolving Knowledge Conflicts in Large Language Models, COLM 2024☆15Updated 4 months ago
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆29Updated 3 weeks ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated 3 months ago
- ☆27Updated 11 months ago
- Tasks for describing differences between text distributions.☆16Updated 6 months ago
- ☆17Updated 4 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆26Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated last year
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆22Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- Interpretable unified language safety checking with large language models☆30Updated last year
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆40Updated last year
- Methods and evaluation for aligning language models temporally☆27Updated 11 months ago
- This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"☆32Updated 5 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆42Updated last year
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆32Updated this week