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

• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆91Updated 7 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆77Updated 5 months ago
• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆36Updated 7 months ago
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 3 months ago
• Persdre / NeurIPS-2024-LLM-Papers
  Accepted LLM Papers in NeurIPS 2024
  ☆35Updated 6 months ago
• ruz048 / AutoLoRA
  ☆10Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆63Updated 6 months ago
• lliai / Awesome-LoRA-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆93Updated 6 months ago
• 2003pro / ScaleBiO
  This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
  ☆17Updated 8 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆43Updated 6 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆66Updated 6 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆56Updated last month
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆141Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆44Updated 6 months ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆27Updated 5 months ago
• ruthless-man / Awesome-Learn-from-Model
  Awesome Learn From Model Beyond Fine-Tuning: A Survey
  ☆62Updated 4 months ago
• adymaharana / d2pruning
  ☆35Updated last year
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated 11 months ago
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆14Updated last month
• tanganke / fusion_bench
  FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
  ☆121Updated this week
• KID-22 / LLM-Unlearning-Paper-List
  ☆28Updated 10 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆75Updated last year
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆118Updated 5 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆42Updated 5 months ago
• zhangyikaii / LAMDA-ZhiJian
  ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
  ☆51Updated last year
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆21Updated 7 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆75Updated 4 months ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆18Updated last year
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆65Updated 2 weeks ago