Alternatives and similar repositories for seq2seq_constrained_decoding

Users that are interested in seq2seq_constrained_decoding are comparing it to the libraries listed below

• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• yanaiela / pararel
  ☆48Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• GXimingLu / neurologic_decoding
  ☆83Updated 2 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 4 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆28Updated 3 years ago
• GEM-benchmark / GEM-metrics
  Automatic metrics for GEM tasks
  ☆67Updated 3 years ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆42Updated 2 years ago
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆68Updated 4 years ago
• oriyor / turning_tables
  Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…
  ☆22Updated 4 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆70Updated 3 years ago
• martiansideofthemoon / longeval-summarization
  Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…
  ☆44Updated last year
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆59Updated 3 years ago
• amazon-science / fact-graph
  Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"
  ☆50Updated 2 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆40Updated 3 years ago
• dapascual / K2T
  ☆71Updated 4 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• Mivg / SLED
  The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper
  ☆70Updated 2 years ago
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆44Updated 3 years ago
• jzbjyb / lm-calibration
  ☆35Updated 4 years ago
• McGill-NLP / FaithDial
  ☆50Updated 3 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆34Updated 4 years ago
• uclnlp / EMAT
  Efficient Memory-Augmented Transformers
  ☆35Updated 3 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 3 years ago
• ghomasHudson / muld
  The Multitask Long Document Benchmark
  ☆42Updated 3 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆23Updated 4 years ago
• beerqa / IRRR
  ☆30Updated 4 years ago
• ZhangShiyue / EmailSum
  The data and code for EmailSum
  ☆63Updated 4 years ago
• vidhishanair / FactEdit
  ☆14Updated 2 years ago