Alternatives and similar repositories for math401-llm

Users that are interested in math401-llm are comparing it to the libraries listed below

• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆142Updated 7 months ago
• qhjqhj00 / WebBrain
  ☆68Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆108Updated 10 months ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆35Updated 8 months ago
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆17Updated 3 months ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated last year
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆48Updated last year
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆50Updated last year
• gpt4life / alpagasus
  Unofficial implementation of AlpaGasus
  ☆91Updated last year
• OhadRubin / EPR
  ☆61Updated 2 years ago
• allenai / Lila
  A unified benchmark for math reasoning
  ☆88Updated 2 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• salesforce / factualNLG
  Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"
  ☆59Updated 4 months ago
• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆83Updated 3 months ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆95Updated 6 months ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• KwanWaiChung / M4LE
  Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
  ☆23Updated 10 months ago
• ExpressAI / reStructured-Pretraining
  reStructured Pre-training
  ☆98Updated 2 years ago
• qinyiwei / InfoBench
  ☆53Updated 9 months ago
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆53Updated 9 months ago
• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆100Updated last month
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆130Updated last year
• orhonovich / instruction-induction
  ☆65Updated 2 years ago
• yixinL7 / SumLLM
  Repo for "On Learning to Summarize with Large Language Models as References"
  ☆44Updated 2 years ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆97Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆73Updated 2 weeks ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated 10 months ago
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆48Updated 11 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated 10 months ago