Alternatives and similar repositories for Open-LLM-Leaderboard

Users that are interested in Open-LLM-Leaderboard are comparing it to the libraries listed below

• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆55Updated 7 months ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆107Updated 7 months ago
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• waltonfuture / Diff-eRank
  [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
  ☆53Updated 3 months ago
• GAIR-NLP / AIME-Preview
  ☆73Updated 6 months ago
• stanfordmlgroup / ManyICL
  ☆141Updated last year
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆103Updated 9 months ago
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆73Updated 3 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆125Updated 6 months ago
• princeton-nlp / CharXiv
  [NeurIPS 2024] CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
  ☆126Updated 5 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆94Updated last month
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆60Updated last year
• starrYYxuan / LeCo
  This the implementation of LeCo
  ☆31Updated 8 months ago
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆119Updated last year
• Infini-AI-Lab / S2FT
  ☆19Updated 8 months ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆55Updated 6 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆39Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 6 months ago
• GeniusHTX / TALE
  ☆131Updated 2 weeks ago
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆157Updated 7 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆111Updated 4 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated last year
• tigerchen52 / awesome_role_of_small_models
  a curated list of the role of small models in the LLM era
  ☆105Updated last year
• kevinwu23 / StanfordClashEval
  ☆37Updated 8 months ago
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆64Updated 4 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆80Updated 6 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆87Updated last year
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 3 months ago