Alternatives and similar repositories for InfoBench

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

• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆106Updated last month
• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆87Updated 4 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated 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 last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆36Updated 10 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆66Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆74Updated last year
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆56Updated 11 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• zhu-minjun / PAlign
  Personality Alignment of Language Models
  ☆37Updated last week
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆80Updated 5 months ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆97Updated 8 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated 10 months ago
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆92Updated 8 months ago
• FreedomIntelligence / OVM
  ☆67Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆81Updated last year
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆160Updated 2 weeks ago
• AI21Labs / factor
  Code and data for the FACTOR paper
  ☆48Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆178Updated last year
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆39Updated 9 months ago
• PlusLabNLP / Active-IT
  Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"
  ☆24Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• RUCAIBox / HaluEval-2.0
  ☆45Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆74Updated last month
• fanqiwan / Explore-Instruct
  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  ☆36Updated last year
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆99Updated 11 months ago
• swj0419 / in-context-pretraining
  ☆51Updated last year
• iwangjian / TopDial
  Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)
  ☆31Updated last year
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆17Updated 4 months ago