SJTU-DMTai / awesome-ml-data-quality-papersLinks
Papers about training data quality management for ML models.
☆105Updated 3 months ago
Alternatives and similar repositories for awesome-ml-data-quality-papers
Users that are interested in awesome-ml-data-quality-papers are comparing it to the libraries listed below
Sorting:
- Awesome Low-Rank Adaptation☆59Updated 5 months ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2025.☆651Updated this week
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆233Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆100Updated last year
- 📜 Paper list on decoding methods for LLMs and LVLMs☆68Updated 2 months ago
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆80Updated last year
- This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)☆17Updated 4 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆38Updated 6 months ago
- Awesome-Low-Rank-Adaptation☆127Updated last year
- Accepted LLM Papers in NeurIPS 2024☆37Updated last year
- A curated list of Model Merging methods.☆96Updated last month
- A curated collection of resources focused on the Mechanistic Interpretability (MI) of Large Multimodal Models (LMMs). This repository agg…☆180Updated 3 months ago
- This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…☆98Updated last year
- [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"☆93Updated last year
- ☆303Updated 6 months ago
- awesome SAE papers☆71Updated 8 months ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Updated 11 months ago
- Survey on Data-centric Large Language Models☆88Updated last year
- A Survey on Data Selection for Language Models☆254Updated 9 months ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆201Updated 2 weeks ago
- One-shot Entropy Minimization☆188Updated 7 months ago
- A curated list of resources for activation engineering☆121Updated 3 months ago
- This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models. (Updated Regularly)☆70Updated 8 months ago
- OOD Generalization相关文章的阅读笔记☆35Updated last year
- ☆57Updated 7 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last month
- This repository contains a regularly updated paper list for LLMs-reasoning-in-latent-space.☆271Updated 3 weeks ago
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆19Updated 2 years ago
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆202Updated last year
- A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"☆191Updated last month