SJTU-DMTai / awesome-ml-data-quality-papersLinks
Papers about training data quality management for ML models.
☆101Updated last month
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:
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆606Updated this week
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆96Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 4 months ago
- Awesome Low-Rank Adaptation☆55Updated 3 months ago
- Accepted LLM Papers in NeurIPS 2024☆37Updated last year
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆231Updated 11 months ago
- This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)☆17Updated 2 months ago
- Awesome-Low-Rank-Adaptation☆123Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 8 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆77Updated 11 months ago
- A curated list of resources for activation engineering☆112Updated last month
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆30Updated 2 months ago
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆62Updated 7 months ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆183Updated last week
- A curated list of Model Merging methods.☆92Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year
- ☆10Updated last year
- awesome SAE papers☆60Updated 6 months ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆33Updated 8 months ago
- ☆184Updated 6 months ago
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆197Updated last year
- Survey on Data-centric Large Language Models☆88Updated last year
- An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT☆127Updated 8 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆85Updated last year
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆18Updated 2 years ago
- [ICML 2024] Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models☆32Updated last year
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆47Updated last month
- A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"☆164Updated last week
- ☆289Updated 4 months ago