WeiHuang05 / Awesome_Large_Foundation_Model_TheoryLinks
Welcome to the 'In Context Learning Theory' Reading Group
☆30Updated 11 months ago
Alternatives and similar repositories for Awesome_Large_Foundation_Model_Theory
Users that are interested in Awesome_Large_Foundation_Model_Theory are comparing it to the libraries listed below
Sorting:
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆200Updated 10 months ago
- [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"☆15Updated 8 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆111Updated 3 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆12Updated 8 months ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆376Updated this week
- A curated list of Model Merging methods.☆92Updated last year
- A collection of papers on discrete diffusion models☆165Updated 4 months ago
- [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…☆15Updated last month
- ☆11Updated 3 months ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆35Updated 6 months ago
- This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…☆92Updated 10 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 3 months ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆290Updated last year
- ☆53Updated 2 years ago
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated 3 months ago
- Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective☆34Updated 8 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆131Updated 3 months ago
- ☆52Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆94Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year
- ☆240Updated last year
- ☆18Updated last year
- A Sober Look at Language Model Reasoning☆86Updated 3 weeks ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆90Updated 2 weeks ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆64Updated 7 months ago
- Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".☆205Updated this week