Alternatives and similar repositories for Knowledge-Constrained-Decoding

Users that are interested in Knowledge-Constrained-Decoding are comparing it to the libraries listed below

• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆115Updated last year
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• matt-seb-ho / WikiWhy
  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…
  ☆47Updated last year
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆203Updated 2 years ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆38Updated last year
• Alrope123 / rethinking-demonstrations
  ☆176Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• hongshi97 / CAD
  Unofficial re-implementation of "Trusting Your Evidence: Hallucinate Less with Context-aware Decoding"
  ☆31Updated 9 months ago
• qinyiwei / InfoBench
  ☆56Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated 11 months ago
• HappyGu0524 / MultiControl
  ☆42Updated last year
• fanqiwan / Explore-Instruct
  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  ☆36Updated last year
• zthang / Focus
  ☆20Updated last year
• RUCAIBox / Language-Specific-Neurons
  ☆84Updated 8 months ago
• ZeroYuHuang / Transformer-Patcher
  ☆31Updated 2 years ago
• liyongqi67 / LTRGR
  ☆19Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• GXimingLu / Quark
  ☆75Updated last year
• ehsk / OpenQA-eval
  ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models
  ☆47Updated last year
• OhadRubin / EPR
  ☆63Updated 2 years ago
• AlexTMallen / adaptive-retrieval
  ☆186Updated 2 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆73Updated 3 years ago