Fetching the paper…
Reading the bibliography…
Multimodal large language models (MLLMs) carry the potential to support humans in processing vast amounts of information.
Fighting fake news: Image splice detection via learned self-consistency
Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A. Efros. 2018 · 2018
Earlier work this paper cites.
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
Grace Luo, Trevor Darrell, and Anna Rohrbach. 2021 · 2021
Earlier work this paper cites.
Automated fact-checking for assisting human fact-checkers
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, and Giovanni Da San Martino. 2021 · 2021
Earlier work this paper cites.
GERE: Generative evidence retrieval for fact verification
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. 2022 · 2022
Earlier work this paper cites.
Multimodal automated fact-checking: A survey
Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, and Andreas Vlachos. 2023 · 2023
Earlier work this paper cites.
COSMOS: Catching out-of-context image misuse using self-supervised learning
Shivangi Aneja, Chris Bregler, and Matthias Nießner. 2023 · 2023
Earlier work this paper cites.
Kevin Matthe Caramancion. 2023 · 2023
Earlier work this paper cites.
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechu Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, and Mohamed Elhoseiny. 2023 · 2023
Earlier work this paper cites.
Tsun-Hin Cheung and Kin-Man Lam. 2023 · 2023
Earlier work this paper cites.
MME: A comprehensive evaluation benchmark for multimodal large language models
Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, et al. 2023 · 2023
Cited alongside, same era.
A survey of language model confidence estimation and calibration
Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, and Iryna Gurevych. 2023 · 2023
Cited alongside, same era.
Read it twice: Towards faithfully interpretable fact verification by revisiting evidence
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, and Philip Yu. 2023 · 2023
Cited alongside, same era.
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al. 2023 · 2023
Cited alongside, same era.
Survey on factuality in large language models: Knowledge, retrieval and domain-specificity
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, et al. 2023 · 2023
Later among the works it cites.
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, and Lifu Huang. 2023 · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
Later among the works it cites.
Towards understanding factual knowledge of large language models
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, and Zhijiang Guo. 2024 · 2024
Closest in time.
Sniffer: Multimodal large language model for explainable out-of-context misinformation detection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Evaluating object hallucination in large vision-language models
Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Xin Zhao, and Ji-Rong Wen. 2023b · 2023
Cited alongside, same era.
Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2023b · 2023
Cited alongside, same era.
FActScore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023 · 2023
Cited alongside, same era.
Fact-checking complex claims with program-guided reasoning
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. 2023 · 2023
Cited alongside, same era.
Self-Checker: Plug-and-play modules for fact-checking with large language models
Miaoran Li, Baolin Peng, and Zhu Zhang. 2023a
Cited in the paper.
Improved baselines with visual instruction tuning
Haotian Liu, Chunyuan Li, Yuheng Li, and Yong Jae Lee. 2023a
Cited in the paper.
MMBench: Is your multi-modal model an all-around player?
Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, et al. 2023c
Cited in the paper.
Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee. 2024 · 2024
Closest in time.
Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, and Xiaochun Cao. 2024 · 2024
Closest in time.
Can LLMs express their uncertainty? An empirical evaluation of confidence elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu, YIFEI LI, Jie Fu, Junxian He, and Bryan Hooi. 2024 · 2024
Closest in time.
Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev. 2019 · 2099
Closest in time.