Topic: factuality Goto Github
Some thing interesting about factuality
Some thing interesting about factuality
factuality,Code and data for the Dreyer et al (2023) paper on abstractiveness and factuality in abstractive summarization
Organization: amazon-science
Home Page: https://arxiv.org/abs/2108.02859
factuality,Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"
Organization: amazon-science
factuality,Code for paper "Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators"
Organization: amazon-science
Home Page: https://arxiv.org/abs/2406.13415
factuality,RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
Organization: amazon-science
factuality,[Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
User: chaitanyamalaviya
factuality,The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“
User: chanliang
Home Page: https://arxiv.org/abs/2310.07289
factuality,OLAPH: Improving Factuality in Biomedical Long-form Question Answering
Organization: dmis-lab
factuality,Dataset: Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
User: firojalam
factuality,API Services: Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
User: firojalam
factuality,Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
Organization: google-deepmind
Home Page: https://arxiv.org/abs/2403.18802
factuality,Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".
Organization: ipazia-ai
Home Page: https://arxiv.org/abs/2404.03623
factuality,Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"
User: khuangaf
Home Page: https://khuangaf.github.io/CHOCOLATE
factuality,Loki: Open-source solution designed to automate the process of verifying factuality
Organization: libr-ai
Home Page: https://loki.librai.tech/
factuality,Retrieval-augmented Generation (2024 Google Project Submodules)
User: nana2929
factuality,Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
User: pphuc25
Home Page: https://arxiv.org/abs/2402.14874
factuality,Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"
Organization: salesforce
Home Page: https://arxiv.org/abs/2305.14540
factuality,Testbench for sentiment and factuality in texts.
User: seinecle
factuality,A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
User: shmsw25
Home Page: https://arxiv.org/abs/2305.14251
factuality,WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
Organization: stanford-oval
Home Page: https://wikichat.genie.stanford.edu
factuality,Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
User: voidism
Home Page: https://arxiv.org/abs/2309.03883
factuality,Official implementation for the paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
User: voidism
Home Page: https://arxiv.org/abs/2407.07071
factuality,Event factuality prediction.Trigger state LSTM
User: yottaxx
Home Page: https://github.com/Yottaxx/T-LSTM
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