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A fundamental ability of an intelligent web-based agent is seeking out and acquiring new information.
Well-read students learn better: The impact of student initialization on knowledge distillation
I. Turc, M. Chang, K. Lee, and K. Toutanova · 1908
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The probabilistic relevance framework: Bm25 and beyond
S. Robertson and H. Zaragoza · 2009
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Wikispeedia: An online game for inferring semantic distances between concepts
R. West, J. Pineau, and D. Precup · 2009
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Distance distribution and average shortest path length estimation in real-world networks
Q. Ye, B. Wu, and B. Wang · 2010
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Webnav: A new large-scale task for natural language based sequential decision making
R. Nogueira and K. Cho · 2016
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Reading wikipedia to answer open-domain questions
D. Chen, A. Fisch, J. Weston, and A. Bordes · 2017
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R. Das, S. Dhuliawala, M. Zaheer, L. Vilnis, I. Durugkar, A. Krishnamurthy, A. J. Smola, and A. McCallum · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Deeppath: A reinforcement learning method for knowledge graph reasoning
W. Xiong, T. Hoang, and W. Y. Wang · 2017
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Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
L. Espeholt, H. Soyer, R. Munos, K. Simonyan, V. Mnih, T. Ward, Y. Doron, V. Firoiu, T. Harley, I. Dunning, S. Legg, and K. Kavukcuoglu · 2018
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Multi-hop knowledge graph reasoning with reward shaping
X. V. Lin, R. Socher, and C. Xiong · 2018
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M-walk: Learning to walk over graphs using monte carlo tree search
Y. Shen, J. Chen, P.-S. Huang, Y. Guo, and J. Gao · 2018
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The web as a knowledge-base for answering complex questions
A. Talmor and J. Berant · 2018
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FEVER: a large-scale dataset for fact extraction and VERification
J. Thorne, A. Vlachos, C. Christodoulopoulos, and A. Mittal · 2018
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Collaborative policy learning for open knowledge graph reasoning
C. Fu, T. Chen, M. Qu, W. Jin, and X. Ren · 2019
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Latent retrieval for weakly supervised open domain question answering
K. Lee, M.-W. Chang, and K. Toutanova · 2019
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Dense passage retrieval for open-domain question answering
V. Karpukhin, B. Oguz, S. Min, L. Wu, S. Edunov, D. Chen, and W. Yih · 2020
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Y. Qu, Y. Ding, J. Liu, K. Liu, R. Ren, X. Zhao, D. Dong, H. Wu, and H. Wang · 2020
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Revisiting the open-domain question answering pipeline
S. J. Semnani and M. Pandey · 2020
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Big bird: Transformers for longer sequences
M. Zaheer, G. Guruganesh, K. A. Dubey, J. Ainslie, C. Alberti, S. Ontanon, P. Pham, A. Ravula, Q. Wang, L. Yang, et al · 2020
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Webgpt: Browser-assisted question-answering with human feedback
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Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
V. Sanh, L. Debut, J. Chaumond, and T. Wolf · 2019
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Team DOMLIN: Exploiting evidence enhancement for the FEVER shared task
D. Stammbach and G. Neumann · 2019
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Learning to retrieve reasoning paths over wikipedia graph for question answering
A. Asai, K. Hashimoto, H. Hajishirzi, R. Socher, and C. Xiong · 2020
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Learning discrete energy-based models via auxiliary-variable local exploration
H. Dai, R. Singh, B. Dai, C. Sutton, and D. Schuurmans · 2020
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Improving efficient neural ranking models with cross-architecture knowledge distillation
S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, and A. Hanbury · 2020
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R. Nakano, J. Hilton, S. Balaji, J. Wu, L. Ouyang, C. Kim, C. Hesse, S. Jain, V. Kosaraju, W. Saunders, X. Jiang, K. Cobbe, T. Eloundou, G. Krueger, K. Button, M. Knight, B. Chess, and J. Schulman · 2021
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Rocketqa: An optimized training approach to dense passage retrieval for open-domain question answering
Y. Qu, Y. Ding, J. Liu, K. Liu, R. Ren, W. X. Zhao, D. Dong, H. Wu, and H. Wang · 2021
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Evidence selection as a token-level prediction task
D. Stammbach · 2021
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Wikigraphs: A wikipedia text - knowledge graph paired dataset
L. Wang, Y. Li, Ö. Aslan, and O. Vinyals · 2021
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Neurally-guided semantic navigation in knowledge graph
L. He, B. Shao, Y. Xiao, Y. Li, T.-Y. Liu, E. Chen, and H. Xia · 2022
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Internet-augmented language models through few-shot prompting for open-domain question answering, 2022
A. Lazaridou, E. Gribovskaya, W. Stokowiec, and N. Grigorev · 2022
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FEVER development set leaderboard
F. leaderboard · 2022
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Linkbert: Pretraining language models with document links
M. Yasunaga, J. Leskovec, and P. Liang · 2022
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