Alternatives and similar repositories for Contrastive_AutoEval

Users that are interested in Contrastive_AutoEval are comparing it to the libraries listed below

• pengr / IKD-MMT
  Our code for EMNLP'22 Oral paper "Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation".
  ☆30Updated last year
• jxhe / unify-parameter-efficient-tuning
  Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
  ☆541Updated 3 years ago
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2025.
  ☆634Updated this week
• codecaution / Awesome-Mixture-of-Experts-Papers
  A curated reading list of research in Mixture-of-Experts(MoE).
  ☆656Updated last year
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆234Updated last year
• yyy01 / PAC
  The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
  ☆15Updated last year
• QingruZhang / AdaLoRA
  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
  ☆364Updated 2 years ago
• aHuiWang / plot_demo
  论文里可以用到的实验图示例
  ☆294Updated last year
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆285Updated 2 years ago
• MLNLP-World / SimBiber
  MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info
  ☆464Updated last year
• XueFuzhao / awesome-mixture-of-experts
  A collection of AWESOME things about mixture-of-experts
  ☆1,253Updated last year
• godweiyang / GrabGPU
  一款便捷的抢占显卡脚本
  ☆391Updated 3 weeks ago
• NOVAglow646 / OOD-Generalization-Paper-Reading-Notes
  OOD Generalization相关文章的阅读笔记
  ☆35Updated last year
• jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
  ☆410Updated last year
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆345Updated this week
• liushunyu / awesome-direct-preference-optimization
  A Survey of Direct Preference Optimization (DPO)
  ☆87Updated 6 months ago
• Imbalance-VLM / Imbalance-VLM
  ☆118Updated 2 years ago
• beccabai / Data-centric_multimodal_LLM
  Survey on Data-centric Large Language Models
  ☆88Updated last year
• bojone / papers.cool
  Cool Papers - Immersive Paper Discovery
  ☆683Updated 4 months ago
• zepingyu0512 / awesome-llm-understanding-mechanism
  awesome papers in LLM interpretability
  ☆603Updated 4 months ago
• NUS-HPC-AI-Lab / InfoBatch
  Lossless Training Speed Up by Unbiased Dynamic Data Pruning
  ☆341Updated last year
• hongxin / csmath-2022
  This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
  ☆60Updated last year
• papercopilot / paperlists
  Processed / Cleaned Data for Paper Copilot
  ☆807Updated last month
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆391Updated last year
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆21Updated last year
• Outsider565 / LoRA-GA
  ☆216Updated last month
• SJTU-DMTai / awesome-ml-data-quality-papers
  Papers about training data quality management for ML models.
  ☆103Updated 2 months ago
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆262Updated 2 years ago
• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆872Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year