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Retrieval-Augmented Generation (RAG) can alleviate hallucinations of Large Language Models (LLMs) by referencing external documents.
The Future of Misinformation Detection: New Perspectives and Trends
Guo, B.; Ding, Y.; Yao, L.; Liang, Y.; and Yu, Z. 2019 · 1909
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
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Reading Wikipedia to Answer Open-Domain Questions
Chen, D.; Fisch, A.; Weston, J.; and Bordes, A. 2017 · 2017
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Joshi, M.; Choi, E.; Weld, D.; and Zettlemoyer, L. 2017 · 2017
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Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L. u.; and Polosukhin, I. 2017 · 2017
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PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models
Zou, W.; Geng, R.; Wang, B.; and Jia, J. 2024 · 2017
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What Does BERT Look at? An Analysis of BERT’s Attention
Clark, K.; Khandelwal, U.; Levy, O.; and Manning, C. D. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Misinformation Detection on Online Social Media-A Survey
Kaliyar, R. K.; and Singh, N. 2019 · 2019
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Natural Questions: A Benchmark for Question Answering Research
Kwiatkowski, T.; Palomaki, J.; Redfield, O.; Collins, M.; et al. 2019 · 2019
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Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
Vaibhav, V.; Mandyam, R.; and Hovy, E. 2019 · 2019
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Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Voita, E.; Talbot, D.; Moiseev, F.; Sennrich, R.; and Titov, I. 2019 · 2019
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CNN, RNN-LSTM Based Hybrid Approach to Detect State-of-the-Art Stance-Based Fake News on Social Media
Goonathilake, M. D. P. P.; and Kumara, P. P. N. V. 2020 · 2020
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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. 2020 · 2020
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; Riedel, S.; and Kiela, D. 2020 · 2020
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A mathematical framework for transformer circuits
Elhage, N.; Nanda, N.; Olsson, C.; Henighan, T.; Joseph, N.; et al. 2021 · 2021
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Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Izacard, G.; and Grave, E. 2021 · 2021
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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
Kaliyar, R. K.; Goswami, A.; and Narang, P. 2021 · 2021
Cited alongside, same era.
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
Zhu, F.; Lei, W.; Wang, C.; Zheng, J.; Poria, S.; and Chua, T.-S. 2021 · 2021
Cited alongside, same era.
Locating and Editing Factual Associations in GPT
Meng, K.; Bau, D.; Andonian, A.; and Belinkov, Y. 2022 · 2022
Cited alongside, same era.
Large Language Models Empowered Personalized Web Agents
Cai, H.; Li, Y.; Wang, W.; Zhu, F.; Shen, X.; Li, W.; and Chua, T.-S. 2024 · 2024
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Can LLM-Generated Misinformation Be Detected?
Chen, C.; and Shu, K. 2024 · 2024
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AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Dufour, N.; Pathak, A.; Samangouei, P.; Hariri, N.; Deshetti, S.; et al. 2024 · 2024
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Retrieval-Augmented Generation for Large Language Models: A Survey
Gao, Y.; Xiong, Y.; Gao, X.; Jia, K.; Pan, J.; Bi, Y.; Dai, Y.; Sun, J.; Wang, M.; and Wang, H. 2024 · 2024
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Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise
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Bai, J.; Bai, S.; Chu, Y.; Cui, Z.; Dang, K.; Deng, X.; Fan, Y.; et al. 2023 · 2023
Cited alongside, same era.
Harnessing the Power of ChatGPT to Decimate Mis/Disinformation: Using ChatGPT for Fake News Detection
Caramancion, K. M. 2023 · 2023
Cited alongside, same era.
Leveraging ChatGPT for Efficient Fact-Checking
Hoes, E.; Altay, S.; and Bermeo, J. 2023 · 2023
Cited alongside, same era.
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Liu, H.; Wang, W.; and Li, H. 2023 · 2023
Cited alongside, same era.
On the Risk of Misinformation Pollution with Large Language Models
Pan, Y.; Pan, L.; Chen, W.; Nakov, P.; Kan, M.-Y.; and Wang, W. 2023b · 2023
Cited alongside, same era.
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
Pelrine, K.; Imouza, A.; Thibault, C.; Reksoprodjo, M.; Gupta, C.; Christoph, J.; Godbout, J.-F.; and Rabbany, R. 2023 · 2023
Cited alongside, same era.
Llama 2: Open Foundation and Fine-Tuned Chat Models
Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; et al. 2023 · 2023
Cited alongside, same era.
Hong, G.; Kim, J.; Kang, J.; Myaeng, S.-H.; and Whang, J. J. 2024 · 2024
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Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
Huang, Y.; Zhu, F.; Tang, J.; Zhou, P.; Lei, W.; Lv, J.; and Chua, T.-S. 2024 · 2024
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Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
Jin, Z.; Cao, P.; Chen, Y.; Liu, K.; Jiang, X.; Xu, J.; Qiuxia, L.; and Zhao, J. 2024 · 2024
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Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
Li, M.; Wang, W.; Feng, F.; Zhu, F.; Wang, Q.; and Chua, T.-S. 2024 · 2024
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OpenAI; Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; et al. 2024 · 2024
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Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
Pan, R.; Cao, B.; Lin, H.; Han, X.; Zheng, J.; Wang, S.; Cai, X.; and Sun, L. 2024 · 2024
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The perils and promises of fact-checking with large language models
Quelle, D.; and Bovet, A. 2024 · 2024
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Defending Against Disinformation Attacks in Open-Domain Question Answering
Weller, O.; Khan, A.; Weir, N.; Lawrie, D.; and Van Durme, B. 2024 · 2024
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Certifiably Robust RAG against Retrieval Corruption
Xiang, C.; Wu, T.; Zhong, Z.; Wagner, D.; Chen, D.; and Mittal, P. 2024 · 2024
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Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Yoran, O.; Wolfson, T.; Ram, O.; and Berant, J. 2024 · 2024
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