Alternatives and similar repositories for FollowBench

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

• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆85Updated 4 months ago
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆91Updated 8 months ago
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆48Updated last year
• qinyiwei / InfoBench
  ☆54Updated 10 months ago
• MARIO-Math-Reasoning / MARIO_EVAL
  ☆48Updated 3 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆78Updated 5 months ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆158Updated 9 months ago
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆96Updated 10 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• PKU-Baichuan-MLSystemLab / CFBench
  CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
  ☆35Updated 9 months ago
• fanqiwan / Explore-Instruct
  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  ☆36Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆81Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆176Updated last year
• FreedomIntelligence / OVM
  ☆67Updated last year
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆68Updated last month
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆73Updated last month
• yegcjs / mixinglaws
  ☆101Updated 8 months ago
• yizhilll / CIF-Bench
  ☆16Updated last year
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆50Updated 11 months ago
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆140Updated last month
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆97Updated 7 months ago
• GAIR-NLP / alignment-for-honesty
  ☆74Updated last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆35Updated 9 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆61Updated 6 months ago
• pldlgb / nuggets
  ☆81Updated last year
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 7 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated 11 months ago
• RUCAIBox / HaluEval-2.0
  ☆43Updated last year
• 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…
  ☆114Updated 11 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆146Updated 4 months ago