Alternatives and similar repositories for InstructScore_SEScore3

Users that are interested in InstructScore_SEScore3 are comparing it to the libraries listed below

• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆45Updated 2 years ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆97Updated 2 years ago
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆81Updated 3 years ago
• littlehacker26 / Discriminator-Cooperative-Unlikelihood-Prompt-Tuning
  The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…
  ☆27Updated 2 years ago
• Yale-LILY / ROSE
  ☆39Updated 2 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• Leezekun / dialogic
  [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"
  ☆35Updated 2 years ago
• lemaoliu / retrieval-generation-reading-list
  This project maintains a reading list for general text generation tasks
  ☆66Updated 4 years ago
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆44Updated 3 years ago
• McGill-NLP / FaithDial
  ☆50Updated 2 years 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
• Adaxry / Post-Instruction
  ☆21Updated 2 years ago
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆26Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆28Updated last year
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 3 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 3 years ago
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆75Updated 3 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆61Updated last year
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• Yale-LILY / FeTaQA
  Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
  ☆83Updated 2 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆69Updated 3 years ago
• nayeon7lee / FactualityPrompt
  ☆87Updated 3 years ago
• 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…
  ☆48Updated last year
• thunlp / ConvDR
  Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
  ☆43Updated 3 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• microsoft / UniSumm
  UNISUMM: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning
  ☆61Updated 2 years ago