Alternatives and similar repositories for instruction-induction

Users that are interested in instruction-induction are comparing it to the libraries listed below

• Nanami18 / Snowballed_Hallucination
  ☆44Updated last year
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆163Updated last year
• i-Eval / FairEval
  ☆141Updated 2 years ago
• allenai / DecomP
  Repository for Decomposed Prompting
  ☆93Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆86Updated 3 years ago
• google-research-datasets / GSM-IC
  Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…
  ☆64Updated 2 years ago
• evandez / REMEDI
  Inspecting and Editing Knowledge Representations in Language Models
  ☆119Updated 2 years ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated last month
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated last year
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆30Updated last year
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆103Updated 2 years ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆132Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• debjitpaul / refiner
  About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…
  ☆70Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆60Updated last year
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆127Updated 11 months ago
• OhadRubin / EPR
  ☆64Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆101Updated last year
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆52Updated last year
• GanjinZero / math401-llm
  Source codes and datasets for How well do Large Language Models perform in Arithmetic tasks?
  ☆56Updated 2 years ago
• chaochun / nlu-asdiv-dataset
  ☆49Updated 2 years ago
• sail-sg / symbolic-instruction-tuning
  The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".
  ☆66Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• liujch1998 / rainier
  ☆28Updated last year
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆149Updated last year