peterljq / Parsimonious-Concept-EngineeringView external linksLinks
PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
☆42Jan 18, 2026Updated 3 weeks ago
Alternatives and similar repositories for Parsimonious-Concept-Engineering
Users that are interested in Parsimonious-Concept-Engineering are comparing it to the libraries listed below
Sorting:
- The dataset CoLan-150K and the concept decomposition in the paper Concept Lancet (CVPR 2025)☆20Jan 18, 2026Updated 3 weeks ago
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Jun 13, 2024Updated last year
- ☆16Oct 2, 2022Updated 3 years ago
- Official code for "Algorithmic Capabilities of Random Transformers" (NeurIPS 2024)☆16Sep 28, 2024Updated last year
- ☆10Mar 6, 2022Updated 3 years ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated 11 months ago
- ☆12Sep 26, 2019Updated 6 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17May 6, 2023Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Jun 1, 2022Updated 3 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆34Jun 20, 2024Updated last year
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated 7 months ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- ☆19Aug 4, 2025Updated 6 months ago
- Flexible, efficient, and context-aware generation from large unstructured knowledge sources.☆17May 7, 2024Updated last year
- Hierarchical Models for Learning Features from Images and Videos☆12Feb 7, 2023Updated 3 years ago
- A resource repository for representation engineering in large language models☆148Nov 14, 2024Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Nov 27, 2024Updated last year
- Code for steering and monitoring with concepts vectors in LLMs. https://arxiv.org/abs/2502.03708☆19Aug 10, 2025Updated 6 months ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- Generate sentences from a probabilistic context-free grammar.☆17Nov 8, 2024Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- Algebraic value editing in pretrained language models☆68Nov 1, 2023Updated 2 years ago
- Official implementation repository for the paper Towards General Conceptual Model Editing via Adversarial Representation Engineering.☆18Dec 6, 2024Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Jun 13, 2024Updated last year
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆64Nov 3, 2022Updated 3 years ago
- ☆46Nov 8, 2024Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Sep 26, 2024Updated last year
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- Scaling Sparse Fine-Tuning to Large Language Models☆18Jan 31, 2024Updated 2 years ago
- Official codebase for "Analyzing the Generalization and Reliability of Steering Vectors"☆19Dec 14, 2024Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆163Jun 25, 2025Updated 7 months ago
- [EMNLP 2024] Official implementation of "Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Ut…☆23Dec 4, 2024Updated last year
- ☆146Dec 30, 2025Updated last month
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆30Nov 12, 2024Updated last year
- ☆20Nov 4, 2025Updated 3 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆83Nov 27, 2024Updated last year
- Self-Supervised Alignment with Mutual Information☆20May 24, 2024Updated last year