Alternatives and similar repositories for mixmatch:

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

• GXimingLu / Quark
  ☆75Updated last year
• Sachin19 / mucoco
  Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…
  ☆58Updated 10 months ago
• yanaiela / pararel
  ☆44Updated last year
• swj0419 / kNN_prompt
  TBC
  ☆26Updated 2 years ago
• yangkevin2 / naacl-2021-fudge-controlled-generation
  ☆98Updated 2 years ago
• qkaren / COLD_decoding
  ☆105Updated 2 years ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆27Updated 11 months ago
• McGill-NLP / FaithDial
  ☆47Updated 2 years ago
• 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
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• Pascalson / LERG
  A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…
  ☆17Updated 2 years ago
• princeton-nlp / MABEL
  EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
  ☆37Updated last year
• GXimingLu / neurologic_decoding
  ☆82Updated last year
• alisawuffles / DExperts
  code associated with ACL 2021 DExperts paper
  ☆113Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆57Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆40Updated last year
• Leezekun / dialogic
  [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"
  ☆34Updated last year
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆62Updated 2 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• SALT-NLP / mic
  Data and code for the paper "The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems"
  ☆19Updated last year
• allenai / csqa2
  ☆36Updated 10 months ago
• mikejqzhang / SituatedQA
  ☆19Updated 2 years ago
• turboLJY / Transfer-Prompts-for-Text-Generation
  ☆16Updated 2 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆17Updated last year
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated last year
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆63Updated 7 months ago
• nayeon7lee / factuality_enhanced_lm_hf
  ☆12Updated 2 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆63Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• princeton-nlp / Cognac
  Repo for paper: Controllable Text Generation with Language Constraints
  ☆19Updated last year