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Knowledge retrieval with multi-modal queries plays a crucial role in supporting knowledge-intensive multi-modal applications.
Opportunistic Data Structures with Applications
Ferragina, P.; and Manzini, G. 2000 · 2000
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OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Marino, K.; Rastegari, M.; Farhadi, A.; and Mottaghi, R. 2019 · 2019
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LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Tan, H.; and Bansal, M. 2019 · 2019
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Dense Passage Retrieval for Open-Domain Question Answering
Karpukhin, V.; Oguz, B.; Min, S.; Lewis, P.; Wu, L.; Edunov, S.; Chen, D.; and Yih, W.-t. 2020a · 2020
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Dense Passage Retrieval for Open-Domain Question Answering
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Information retrieval: a view from the Chinese IR community
Chen, Z.; Cheng, X.; Dong, S.; Dou, Z.; Guo, J.; Huang, X.; Lan, Y.; Li, C.; Li, R.; Liu, T.; Liu, Y.; Ma, J.; Qin, B.; Wang, M.; Wen, J.; Xu, J.; Zhang, M.; Zhang, P.; and Zhang, Q. 2021 · 2021
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Autoregressive Entity Retrieval
De Cao, N.; Izacard, G.; Riedel, S.; and Petroni, F. 2021 · 2021
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LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2021 · 2021
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Prefix-Tuning: Optimizing Continuous Prompts for Generation
Li, X. L.; and Liang, P. 2021 · 2021
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Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
Luo, M.; Zeng, Y.; Banerjee, P.; and Baral, C. 2021a · 2021
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Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
Luo, M.; Zeng, Y.; Banerjee, P.; and Baral, C. 2021b · 2021
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Learning Transferable Visual Models From Natural Language Supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I. 2021b · 2021
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Autoregressive Search Engines: Generating Substrings as Document Identifiers
Bevilacqua, M.; Ottaviano, G.; Lewis, P. S. H.; Yih, S.; Riedel, S.; and Petroni, F. 2022 · 2022
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GERE: Generative Evidence Retrieval for Fact Verification
Chen, J.; Zhang, R.; Guo, J.; Fan, Y.; and Cheng, X. 2022a · 2022
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OpenPrompt: An Open-source Framework for Prompt-learning
Ding, N.; Hu, S.; Zhao, W.; Chen, Y.; Liu, Z.; Zheng, H.-T.; and Sun, M. 2022 · 2022
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Gao, F.; Ping, Q.; Thattai, G.; Reganti, A.; Wu, Y. N.; and Natarajan, P. 2022 · 2022
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PTR: Prompt Tuning with Rules for Text Classification
Han, X.; Zhao, W.; Ding, N.; Liu, Z.; and Sun, M. 2022 · 2022
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DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking
Huang, S.; Zhai, Y.; Long, X.; Jiang, Y.; Wang, X.; Zhang, Y.; and Xie, P. 2022 · 2022
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UniTranSeR: A unified transformer semantic representation framework for multimodal task-oriented dialog system
Ma, Z.; Li, J.; Li, G.; and Cheng, Y. 2022 · 2022
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ExaRanker: Explanation-Augmented Neural Ranker
Ferraretto, F.; Laitz, T.; Lotufo, R.; and Nogueira, R. 2023 · 2023
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Precise Zero-Shot Dense Retrieval without Relevance Labels
Gao, L.; Ma, X.; Lin, J.; and Callan, J. 2023 · 2023
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Query Expansion by Prompting Large Language Models
Jagerman, R.; Zhuang, H.; Qin, Z.; Wang, X.; and Bendersky, M. 2023 · 2023
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Multiview Identifiers Enhanced Generative Retrieval
Li, Y.; Yang, N.; Wang, L.; Wei, F.; and Li, W. 2023 · 2023
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End-to-end Knowledge Retrieval with Multi-modal Queries
Luo, M.; Fang, Z.; Gokhale, T.; Yang, Y.; and Baral, C. 2023a · 2023
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Transformer Memory as a Differentiable Search Index
Tay, Y.; Tran, V.; Dehghani, M.; Ni, J.; Bahri, D.; Mehta, H.; Qin, Z.; Hui, K.; Zhao, Z.; Gupta, J. P.; Schuster, T.; Cohen, W. W.; and Metzler, D. 2022 · 2022
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YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Wang, C.-Y.; Bochkovskiy, A.; and Liao, H.-Y. M. 2022 · 2022
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A Neural Corpus Indexer for Document Retrieval
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On Robust Prefix-Tuning for Text Classification
Yang, Z.; and Liu, Y. 2022 · 2022
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OPT: Open Pre-trained Transformer Language Models
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A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Chen, J.; Zhang, R.; Guo, J.; de Rijke, M.; Liu, Y.; Fan, Y.; and Cheng, X. 2023 · 2023
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Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories
Diao, S.; Xu, T.; Xu, R.; Wang, J.; and Zhang, T. 2023 · 2023
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HybridPrompt: bridging language models and human priors in prompt tuning for visual question answering
Ma, Z.; Yu, Z.; Li, J.; and Li, G. 2023 · 2023
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Unifying Large Language Models and Knowledge Graphs: A Roadmap
Pan, S.; Luo, L.; Wang, Y.; Chen, C.; Wang, J.; and Wu, X. 2023 · 2023
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Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Tang, Y.; Zhang, R.; Guo, J.; Chen, J.; Zhu, Z.; Wang, S.; Yin, D.; and Cheng, X. 2023 · 2023
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LLaMA: Open and Efficient Foundation Language Models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; Rodriguez, A.; Joulin, A.; Grave, E.; and Lample, G. 2023 · 2023
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Are Neural Ranking Models Robust?
Wu, C.; Zhang, R.; Guo, J.; Fan, Y.; and Cheng, X. 2023 · 2023
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CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
Zhang, K.; Ding, N.; Qi, B.; Zhu, X.; Long, X.; and Zhou, B. 2023a · 2023
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Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback
Zhou, Y.; Dou, Z.; and Wen, J.-R. 2023 · 2023
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MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Zhu, D.; Chen, J.; Shen, X.; Li, X.; and Elhoseiny, M. 2023 · 2023
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