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Large Vision-Language Models (LVLMs) often produce responses that misalign with factual information, a phenomenon known as hallucinations.
Recovering intrinsic scene characteristics
Harry Barrow, J Tenenbaum, A Hanson, and E Riseman · 1978
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Depth estimation from image structure
Antonio Torralba and Aude Oliva · 2002
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Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
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Learning transferable visual models from natural language supervision
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Training a helpful and harmless assistant with reinforcement learning from human feedback, 2022
Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, Jackson Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Shauna Kravec, Liane Lovitt, Neel Nanda, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, Ben Mann, and Jared Kaplan · 2022
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Ocr-free document understanding transformer
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V Le · 2022
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Mme: A comprehensive evaluation benchmark for multimodal large language models. arxiv 2306.13394 (2023), 2023
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Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities
Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, and Ming-Wei Chang · 2023
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Contrastive decoding: Open-ended text generation as optimization
Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, and Mike Lewis · 2023
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The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, and Yejin Choi · 2023
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Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao · 2023
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Smallcap: lightweight image captioning prompted with retrieval augmentation
Rita Ramos, Bruno Martins, Desmond Elliott, and Yova Kementchedjhieva · 2023
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Mitigating object hallucinations in large vision-language models through visual contrastive decoding
Guanzheng Chen Sicong Leng, Hang Zhang, Xin Li, Shijian Lu, Chunyan Miao, and Lidong Bing · 2023
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Llama 2: Open foundation and fine-tuned chat models
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Blink: Multimodal large language models can see but not perceive
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A closer look at the limitations of instruction tuning
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration, 2023
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Mm-vet: Evaluating large multimodal models for integrated capabilities
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A survey of large language models, 2023
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen · 2023
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Judging LLM-as-a-judge with MT-bench and chatbot arena
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Hallucination of multimodal large language models: A survey
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HALC: Object hallucination reduction via adaptive focal-contrast decoding
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, and Jiawei Zhou
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The false promise of imitating proprietary language models
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Visual evidence prompting mitigates hallucinations in multimodal large language models
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Llava-next: Improved reasoning, ocr, and world knowledge, January 2024c
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Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts
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Compositional chain-of-thought prompting for large multimodal models
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Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
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Beyond embeddings: The promise of visual table in visual reasoning
Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, and Liwei Wang · 2024
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