HLTCHKUST / cqr4cqa

Related projects ⓘ

Alternatives and complementary repositories for cqr4cqa

• HLTCHKUST / KnowExpert
  The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".
  ☆17Updated 2 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…
  ☆25Updated last year
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆44Updated last year
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• doc2dial / sharedtask-dialdoc2021
  doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are gr…
  ☆40Updated 2 years ago
• exe1023 / DialEvalMetrics
  ☆61Updated 2 years ago
• GXimingLu / Quark
  ☆74Updated last year
• Aolius / semi-fst
  Code for ACL 2022 paper "Semi-Supervised Formality Style Transfer with Consistency Training".
  ☆17Updated 2 years ago
• dmis-lab / excord
  Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)
  ☆31Updated last year
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 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
  ☆97Updated last year
• nayeon7lee / factuality_enhanced_lm_hf
  ☆11Updated 2 years ago
• ndaheim / faithful-dialogue
  ☆23Updated last year
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆45Updated 2 years ago
• Adaxry / Post-Instruction
  ☆21Updated last year
• hccngu / DialCoT
  DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
  ☆13Updated last year
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆42Updated last year
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆22Updated 7 months ago
• RUCAIBox / Transfer-Prompts-for-Text-Generation
  ☆26Updated 2 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆18Updated last year
• mcao516 / EntFA
  ☆25Updated 2 years ago
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆19Updated 11 months ago
• thu-coai / CPT4DST
  Official code for "Continual Prompt Tuning for Dialog State Tracking" (ACL 2022).
  ☆27Updated last year
• amazon-science / dse
  ☆44Updated last year
• McGill-NLP / FaithDial
  ☆48Updated last year
• GXimingLu / neurologic_decoding
  ☆80Updated last year
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆61Updated 4 months ago
• TingchenFu / PersonaKGC
  ☆28Updated 2 years ago