krzz2q

krzz2q's Stars

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python7k10651.2k

• google-research/pegasus

  Language:Python1.6k49205316

• miracleyoo/pytorch-lightning-template

  An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

  Language:Jupyter Notebook1.4k1013195

• 920232796/bert_seq2seq

  pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

  Language:Python1.3k1367209

• Cartus/Automated-Fact-Checking-Resources

  Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

  4448347

• jagilley/fact-checker

  Fact-checking LLM outputs with self-ask

  Language:Jupyter Notebook2895240

• allenai/scifact

  Data and models for the SciFact verification task.

  Language:Python224102327

• algoprog/Quin

  An easy to use framework for large-scale fact-checking and question answering

  Language:Python691067

• jiho283/FactKG

  Official repository of FactKG

  Language:Python53177

• MichSchli/AVeriTeC

  Language:Python50324

• salesforce/DialFact

  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence from Wikipedia.

  Language:Python41627

• Tiiiger/benchmark_llm_summarization

  34122

• allenai/scientific-claim-generation

  Generating claims for zero-shot scientific fact checking

  Language:Python29623

• teacherpeterpan/ProgramFC

  Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"

  Language:Python291313

• jifan-chen/subquestions-for-fact-checking

  Code and dataset for the paper: Generating Literal and Implied Subquestions to Fact-check Complex Claims

  Language:Python24133

• CambridgeNLIP/verification-real-world-info-needs

  Language:Python18501

• leezythu/UCTR

  Language:Python17200

• khuangaf/CONCRETE

  Official implementation of "CONCRETE: Improving Cross-lingual Fact Checking with Cross-lingual Retrieval" (COLING'22)

  Language:Python15260

• thcheung/FactLLaMA

  [APSIPA ASC 2023] The official code of paper, "FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking".

  Language:Python15114

• krishnamrith12/ProoFVer

  Proof system for Fact Verification

  Language:Python14337

• almogtavor/facts-checker-gpt

  Perform facts checks on your conversations with LLMs to catch fake-news, misleading information, and LLMs confusion.

  Language:Python13200

• othmanelhoufi/LM-for-FactChecking

  An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

  Language:Python13201

• Anni-Zou/Decker

  Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification (ACL 2023, Findings)

  Language:Python10160

• mitchelldehaven/bevers

  Language:Python10144

• UKPLab/emnlp2022-missing-counter-evidence

  Source code and data of our paper "Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation" (https://arxiv.org/abs/2210.13865, to appear at EMNLP 2022).

  Language:Python10603

• LanD-FBK/benchmark-gen-explanations

  Codes for "Benchmarking the Generation of Fact Checking Explanations"

  Language:Python9100

• KNOT-FIT-BUT/ClaimDissector

  The official implementation of our interpretable fact-checking system ClaimDissector.

  Language:Python3402

• maxim25munin/Misinformation_Detection_Using_LLM

  In this Repository we explore how LLMs can be utilized for fact-checking.

  Language:Jupyter Notebook3

• siddsuresh97/conceptual_structure_emnlp_2023

  Language:Jupyter Notebook21

• MichelleHS777/PEFT-Chinese-Fact-Verification

  Parameter-Efficient Fine-Tuning for Chinese Fact Checking

  Language:Python10