Papers with Code 아카이브

Fact Checking

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

7

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/parker-ibm/news-extension

Predicting Factuality of Reporting and Bias of News Media Sources

https://github.com/phunterlau/paper_without_code/tree/main/examples/community-rag

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking

https://github.com/pmallari/AmazonSentimentAnalysis

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

https://github.com/ranggihwang/pregated_moe

Factuality Enhanced Language Models for Open-Ended Text Generation

https://github.com/rst-tu-dortmund/lord

Parting with Misconceptions about Learning-based Vehicle Motion Planning

https://github.com/ruanchaves/eplm

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

https://github.com/rvlopes/gloria

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

https://github.com/sheepover96/ProjE.torch

ProjE: Embedding Projection for Knowledge Graph Completion

https://github.com/shengyp/fake_news

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

https://github.com/siddarthhari95/NLP-Fake-News_detection

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

https://github.com/soldni/pyterrier_sentence_transformers

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/sshaar/clef2020-factchecking-task1

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

https://github.com/sshaar/clef2020-factchecking-task2

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

https://github.com/sshaar/clef2020-factchecking-task5

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

https://github.com/tanny411/llm-reliability-and-consistency-evaluation

Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording

https://github.com/teacherpeterpan/programfc

Fact-Checking Complex Claims with Program-Guided Reasoning

https://github.com/thakur-nandan/income

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/thestephencasper/common_claim

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

https://github.com/thunlp/clueanchor

Atlas: Few-shot Learning with Retrieval Augmented Language Models

https://github.com/triton-inference-server/fastertransformer_backend

Factuality Enhanced Language Models for Open-Ended Text Generation

https://github.com/uclnlp/fakenewschallenge

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

https://github.com/utahnlp/x-fact

X-FACT: A New Benchmark Dataset for Multilingual Fact Checking

https://github.com/vectara/hallucination-leaderboard

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

https://github.com/vrt1shjwlkr/ndss21-model-poisoning

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

https://github.com/wiseodd/laplace-bayesopt

Laplace Redux -- Effortless Bayesian Deep Learning

https://github.com/xfactlab/emnlp2023-damaging-retrieval

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/yizhongw/truthfulqa_reeval

TruthfulQA: Measuring How Models Mimic Human Falsehoods

https://github.com/zouharvi/kb-shrink

KILT: a Benchmark for Knowledge Intensive Language Tasks

https://huggingface.co/manueldeprada/FactCC

Evaluating the Factual Consistency of Abstractive Text Summarization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.