Alternatives and similar repositories for Humpback

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

• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆246Updated last year
• i-Eval / FairEval
  ☆140Updated 2 years ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆176Updated 3 months ago
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆93Updated 11 months ago
• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆113Updated 3 months ago
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆275Updated 2 years ago
• nick7nlp / Counting-Stars
  Counting-Stars (★)
  ☆83Updated 3 months ago
• thu-coai / CritiqueLLM
  ☆147Updated last year
• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆94Updated 7 months ago
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆184Updated 11 months ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 10 months ago
• raunak-agarwal / instruction-datasets
  Datasets for Instruction Tuning of Large Language Models
  ☆255Updated last year
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆69Updated 4 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆120Updated last year
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆51Updated 2 years ago
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆49Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆131Updated last year
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆266Updated last year
• OpenMOSS / HalluQA
  Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"
  ☆135Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• pldlgb / nuggets
  ☆83Updated last year
• yegcjs / mixinglaws
  ☆105Updated 2 months ago
• ACL2023-Retrieval-LM / ACL2023-Retrieval-LM.github.io
  https://acl2023-retrieval-lm.github.io/
  ☆156Updated last year
• allenai / FineGrainedRLHF
  ☆280Updated 8 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆37Updated last year
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆353Updated last year
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆163Updated last year
• gpt4life / alpagasus
  Unofficial implementation of AlpaGasus
  ☆93Updated 2 years ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆188Updated last year
• IronBeliever / CaR
  Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
  ☆89Updated 10 months ago