JJchy / CG_scoreLinks
Data Valuation without Training of a Model, submitted to ICLR'23
☆22Updated 2 years ago
Alternatives and similar repositories for CG_score
Users that are interested in CG_score are comparing it to the libraries listed below
Sorting:
- ☆35Updated last year
- ☆44Updated 5 months ago
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆48Updated 3 months ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆41Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆87Updated 8 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 9 months ago
- ☆70Updated 3 years ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆27Updated 4 months ago
- ☆22Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆27Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆102Updated 2 years ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆59Updated 4 months ago
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated 8 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 9 months ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆35Updated 6 months ago
- ☆153Updated 3 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆59Updated last year
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆38Updated 8 months ago
- A Task of Fictitious Unlearning for VLMs☆19Updated 3 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆126Updated last month
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)☆24Updated 7 months ago
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆36Updated 5 months ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆28Updated 5 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆42Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- ☆25Updated last year