Alternatives and similar repositories for paper-reading

Users that are interested in paper-reading are comparing it to the libraries listed below

• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆45Updated 2 years ago
• TryMoreGroup / TryMore-PaperReading
  揣摩研习社关注自然语言和信息检索前沿技术，解读热门科技论文，分享实用科研工具，挖掘人工智能冰山之下的学术和应用价值！
  ☆37Updated 2 years ago
• pkunlp-icler / ChildTuning
  ☆32Updated 3 years ago
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆104Updated 2 years ago
• pkunlp-icler / GroupMeeting
  Group Meeting Record for Baobao Chang Group in Peking University
  ☆26Updated 4 years ago
• OhadRubin / EPR
  ☆63Updated 2 years ago
• wangpf3 / consistent-CoT-distillation
  ☆43Updated last year
• shuyhere / about-super-alignment
  Feeling confused about super alignment? Here is a reading list
  ☆43Updated last year
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆65Updated 2 years ago
• MLNLP-World / Top-Conference-WeChat-Group
  ☆57Updated 2 years ago
• JingfengYang / Multi-modal-Deep-Learning
  ☆73Updated 3 years ago
• princeton-nlp / c-sts
  [EMNLP 2023] C-STS: Conditional Semantic Textual Similarity
  ☆73Updated last year
• dayihengliu / NLG-Researchers
  本文旨在整理文本生成领域国内外工业界和企业家的研究者和研究机构。排名不分先后。更新中，欢迎大家补充
  ☆50Updated 4 years ago
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆49Updated 2 years ago
• TsinghuaAI / CUGE
  ☆53Updated 3 years ago
• Hzfinfdu / MPMP
  ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
  ☆40Updated 2 years ago
• wxl1999 / PLMPapers
  A paper list of pre-trained language models (PLMs).
  ☆81Updated 3 years ago
• RunxinXu / ChildTuning
  Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
  ☆61Updated 3 years ago
• cooelf / PaperWritingTips
  Tips for paper writing and researches 科技论文写作经验记录和总结
  ☆135Updated 3 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 8 months ago
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆81Updated last year
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated last year
• vickywu1022 / OntoProbe-PLMs
  Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"
  ☆32Updated last year
• llyx97 / sparse-and-robust-PLM
  [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…
  ☆21Updated last year
• c-box / KnowledgeLifecycle
  Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"
  ☆59Updated last year
• Hzfinfdu / PLMTuningCompetition
  擂台赛3-大规模预训练调优比赛的示例代码与baseline实现
  ☆37Updated 2 years ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆29Updated last year
• hongbinye / Cognitive-Mirage-Hallucinations-in-LLMs
  Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
  ☆47Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆68Updated last year
• SinclairCoder / do-research-in-AI
  A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).
  ☆78Updated last year