shizhediao / Black-Box-Prompt-LearningLinks
Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
☆57Updated 2 years ago
Alternatives and similar repositories for Black-Box-Prompt-Learning
Users that are interested in Black-Box-Prompt-Learning are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated 2 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Updated last year
- ☆51Updated last year
- Codebase for decoding compressed trust.☆25Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 8 months ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 7 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆20Updated last year
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆36Updated last year
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆26Updated last year
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆83Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆37Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆64Updated last year
- ☆46Updated 2 years ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- ☆43Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting☆22Updated last year
- ☆18Updated last year
- ☆43Updated 2 years ago
- ☆41Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆52Updated 7 months ago
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆32Updated 11 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆71Updated 3 years ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆39Updated last year
- ☆30Updated last year