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Information-seeking chat: Dialogues driven by topic-structure
Stede, M. and Schlangen, D · 2004
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Maximum inner-product search using cone trees
Ram, P. and Gray, A. G · 2012
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Bolukbasi, T., Chang, K.-W., Zou, J. Y., Saligrama, V., and Kalai, A. T · 2016
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MS MARCO: A human generated machine reading comprehension dataset
Nguyen, T., Rosenberg, M., Song, X., Gao, J., Tiwary, S., Majumder, R., and Deng, L · 2016
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Globally and locally consistent image completion
Iizuka, S., Simo-Serra, E., and Ishikawa, H · 2017
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A theoretical framework for conversational search
Radlinski, F. and Craswell, N · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017
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Quac: Question answering in context
Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W., Choi, Y., Liang, P., and Zettlemoyer, L · 2018
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Research frontiers in information retrieval: Report from the third strategic workshop on information retrieval in lorne (SWIRL)
Culpepper, J. S., Diaz, F., and Smucker, M. D · 2018
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Wizard of wikipedia: Knowledge-powered conversational agents
Dinan, E., Roller, S., Shuster, K., Fan, A., Auli, M., and Weston, J · 2018
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Word embeddings quantify 100 years of gender and ethnic stereotypes
Garg, N., Schiebinger, L., Jurafsky, D., and Zou, J · 2018
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Image inpainting for irregular holes using partial convolutions
Liu, G., Reda, F. A., Shih, K. J., Wang, T., Tao, A., and Catanzaro, B · 2018
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Interpretation of natural language rules in conversational machine reading
Saeidi, M., Bartolo, M., Lewis, P., Singh, S., Rocktäschel, T., Sheldon, M., Bouchard, G., and Riedel, S · 2018
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Generative image inpainting with contextual attention
Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., and Huang, T. S · 2018
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Taskmaster-1: Toward a realistic and diverse dialog dataset
Byrne, B., Krishnamoorthi, K., Sankar, C., Neelakantan, A., Goodrich, B., Duckworth, D., Yavuz, S., Dubey, A., Kim, K., and Cedilnik, A · 2019
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TREC cast 2019: The conversational assistance track overview
Dalton, J., Xiong, C., and Callan, J · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M., Lee, K., and Toutanova, K · 2019
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IRIT at TREC 2019: Incident streams and complex answer retrieval tracks
Dusart, A., Hubert, G., and Pinel-Sauvagnat, K · 2019
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Can you unpack that? learning to rewrite questions-in-context
Elgohary, A., Peskov, D., and Boyd-Graber, J. L · 2019
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Natural questions: a benchmark for question answering research
Kwiatkowski, T., Palomaki, J., Redfield, O., Collins, M., Parikh, A. P., Alberti, C., Epstein, D., Polosukhin, I., Devlin, J., Lee, K., Toutanova, K., Jones, L., Kelcey, M., Chang, M., Dai, A. M., Uszkoreit, J., Le, Q., and Petrov, S · 2019
Cited alongside, same era.
Latent retrieval for weakly supervised open domain question answering
Lee, K., Chang, M., and Toutanova, K · 2019
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On measuring social biases in sentence encoders
May, C., Wang, A., Bordia, S., Bowman, S., and Rudinger, R · 2019
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Nogueira, R. and Cho, K · 2019
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Coqa: A conversational question answering challenge
Reddy, S., Chen, D., and Manning, C. D · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
DIALOGPT : Large-scale generative pre-training for conversational response generation
Zhang, Y., Sun, S., Galley, M., Chen, Y., Brockett, C., Gao, X., Gao, J., Liu, J., and Dolan, B · 2020
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Large language models associate muslims with violence
Abid, A., Farooqi, M., and Zou, J · 2021
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Open-domain question answering goes conversational via question rewriting
Anantha, R., Vakulenko, S., Tu, Z., Longpre, S., Pulman, S., and Chappidi, S · 2021
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Simcse: Simple contrastive learning of sentence embeddings
Gao, T., Yao, X., and Chen, D · 2021
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Internet-augmented dialogue generation
Komeili, M., Shuster, K., and Weston, J · 2021
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PAQ: 65 million probably-asked questions and what you can do with them
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Reimers, N. and Gurevych, I · 2019
Cited alongside, same era.
Query and answer expansion from conversation history
Yang, J., Lin, S., Wang, C., Lin, J., and Tsai, M · 2019
Cited alongside, same era.
Towards a human-like open-domain chatbot
Adiwardana, D., Luong, M.-T., So, D. R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y., et al · 2020
Cited alongside, same era.
Doqa-accessing domain-specific faqs via conversational qa
Campos, J. A., Otegi, A., Soroa, A., Deriu, J. M., Cieliebak, M., and Agirre, E · 2020
Cited alongside, same era.
Pre-training tasks for embedding-based large-scale retrieval
Chang, W., Yu, F. X., Chang, Y., Yang, Y., and Kumar, S · 2020
Cited alongside, same era.
Cast 2020: The conversational assistance track overview
Dalton, J., Xiong, C., and Callan, J · 2020
Cited alongside, same era.
Doc2dial: A goal-oriented document-grounded dialogue dataset
Feng, S., Wan, H., Gunasekara, C., Patel, S., Joshi, S., and Lastras, L · 2020
Cited alongside, same era.
Lewis, P., Wu, Y., Liu, L., Minervini, P., Küttler, H., Piktus, A., Stenetorp, P., and Riedel, S · 2021
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Ditch the gold standard: Re-evaluating conversational question answering
Li, H., Gao, T., Goenka, M., and Chen, D · 2021
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In-batch negatives for knowledge distillation with tightly-coupled teachers for dense retrieval
Lin, S.-C., Yang, J.-H., and Lin, J · 2021
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Zero-shot neural passage retrieval via domain-targeted synthetic question generation
Ma, J., Korotkov, I., Yang, Y., Hall, K. B., and McDonald, R. T · 2021
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WebGPT: Browser-assisted question-answering with human feedback
Nakano, R., Hilton, J., Balaji, S., Wu, J., Ouyang, L., Kim, C., Hesse, C., Jain, S., Kosaraju, V., Saunders, W., et al · 2021
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Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models
Ni, J., Ábrego, G. H., Constant, N., Ma, J., Hall, K. B., Cer, D., and Yang, Y · 2021
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RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering
Qu, Y., Ding, Y., Liu, J., Liu, K., Ren, R., Zhao, W. X., Dong, D., Wu, H., and Wang, H · 2021
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Recipes for building an open-domain chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Smith, E. M., Boureau, Y.-L., et al · 2021
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Colbertv2: Effective and efficient retrieval via lightweight late interaction
Santhanam, K., Khattab, O., Saad-Falcon, J., Potts, C., and Zaharia, M · 2021
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CONQRR: Conversational query rewriting for retrieval with reinforcement learning
Wu, Z., Luan, Y., Rashkin, H., Reitter, D., and Tomar, G. S · 2021
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Approximate nearest neighbor negative contrastive learning for dense text retrieval
Xiong, L., Xiong, C., Li, Y., Tang, K., Liu, J., Bennett, P. N., Ahmed, J., and Overwijk, A · 2021
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Few-shot conversational dense retrieval
Yu, S., Liu, Z., Xiong, C., Feng, T., and Liu, Z · 2021
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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
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Lamda: Language models for dialog applications, 2022
Thoppilan, R., Freitas, D. D., Hall, J., Shazeer, N., Kulshreshtha, A., Cheng, H.-T., Jin, A., Bos, T., Baker, L., Du, Y., Li, Y., Lee, H., Zheng, H. S., Ghafouri, A., Menegali, M., Huang, Y., Krikun, M., Lepikhin, D., Qin, J., Chen, D., Xu, Y., Chen, Z., Roberts, A., Bosma, M., Zhou, Y., Chang, C.-C., Krivokon, I., Rusch, W., Pickett, M., Meier-Hellstern, K., Morris, M. R., Doshi, T., Santos, R. D., Duke, T., Soraker, J., Zevenbergen, B., Prabhakaran, V., Diaz, M., Hutchinson, B., Olson, K., Molina, A., Hoffman-John, E., Lee, J., Aroyo, L., Rajakumar, R., Butryna, A., Lamm, M., Kuzmina, V., Fenton, J., Cohen, A., Bernstein, R., Kurzweil, R., Aguera-Arcas, B., Cui, C., Croak, M., Chi, E., and Le, Q · 2022
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