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Large language models (LLMs) have recently gained significant attention due to their unparalleled ability to perform various natural language processing tasks.
Basics of qualitative research : techniques and procedures for developing grounded theory
A. Strauss and J. M. Corbin · 1998
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The new york times annotated corpus. ldc2008t19
E. Sandhaus · 2008
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Supporting judgment of fact trustworthiness considering temporal and sentimental aspects
Y. Yamamoto, T. Tezuka, A. Jatowt, and K. Tanaka · 2008
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Heideltime: High quality rule-based extraction and normalization of temporal expressions
J. Strötgen and M. Gertz · 2010
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Studying how the past is remembered: towards computational history through large scale text mining
C. A. Yeung and A. Jatowt · 2011
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Index maintenance for time-travel text search
A. Anand, S. J. Bedathur, K. Berberich, and R. Schenkel · 2012
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Sutime: A library for recognizing and normalizing time expressions
A. X. Chang and C. D. Manning · 2012
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Creating temporally dynamic web search snippets
K. M. Svore, J. Teevan, S. T. Dumais, and A. Kulkarni · 2012
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Temporal diversification of search results
K. Berberich and S. Bedathur · 2013
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Estimating document focus time
A. Jatowt, C. A. Yeung, and K. Tanaka · 2013
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A survey of temporal web search experience
H. Joho, A. Jatowt, and R. Blanco · 2013
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Survey of temporal information retrieval and related applications
R. Campos, G. Dias, A. M. Jorge, and A. Jatowt · 2014
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Identifying time intervals of interest to queries
D. Gupta and K. Berberich · 2014
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NTCIR temporalia: a test collection for temporal information access research
H. Joho, A. Jatowt, and R. Blanco · 2014
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Tempas: Temporal archive search based on tags
H. Holzmann and A. Anand · 2016
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On the applicability of delicious for temporal search on web archives
H. Holzmann, W. Nejdl, and A. Anand · 2016
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Temporal information retrieval
N. Kanhabua and A. Anand · 2016
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Squad: 100, 000+ questions for machine comprehension of text
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang · 2016
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Newsqa: A machine comprehension dataset
A. Trischler, T. Wang, X. Yuan, J. Harris, A. Sordoni, P. Bachman, and K. Suleman · 2017
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Tempquestions: A benchmark for temporal question answering
Z. Jia, A. Abujabal, R. S. Roy, J. Strötgen, and G. Weikum · 2018
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History by diversity: Helping historians search news archives
J. Singh, W. Nejdl, and A. Anand · 2018
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NATSUM: narrative abstractive summarization through cross-document timeline generation
C. Barros, E. Lloret, E. Saquete, and B. Navarro-Colorado · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
J. Devlin, M. Chang, K. Lee, and K. Toutanova · 2019
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Personalized online spell correction for personal search
J. P. Gupta, Z. Qin, M. Bendersky, and D. Metzler · 2019
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Language models as knowledge bases?
F. Petroni, T. Rocktäschel, S. Riedel, P. S. H. Lewis, A. Bakhtin, Y. Wu, and A. H. Miller · 2019
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Language models are unsupervised multitask learners
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever · 2019
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Commonsenseqa: A question answering challenge targeting commonsense knowledge
A. Talmor, J. Herzig, N. Lourie, and J. Berant · 2019
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Language models are few-shot learners
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
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Tomayto, tomahto. beyond token-level answer equivalence for question answering evaluation
J. Bulian, C. Buck, W. Gajewski, B. Börschinger, and T. Schuster · 2022
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Time-aware language models as temporal knowledge bases
B. Dhingra, J. R. Cole, J. M. Eisenschlos, D. Gillick, J. Eisenstein, and W. W. Cohen · 2022
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Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
D. Ganguli, L. Lovitt, J. Kernion, A. Askell, Y. Bai, S. Kadavath, B. Mann, E. Perez, N. Schiefer, K. Ndousse, A. Jones, S. Bowman, A. Chen, T. Conerly, N. DasSarma, D. Drain, N. Elhage, S. E. Showk, S. Fort, Z. Hatfield-Dodds, T. Henighan, D. Hernandez, T. Hume, J. Jacobson, S. Johnston, S. Kravec, C. Olsson, S. Ringer, E. Tran-Johnson, D. Amodei, T. Brown, N. Joseph, S. McCandlish, C. Olah, J. Kaplan, and J. Clark · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. L. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, J. Schulman, J. Hilton, F. Kelton, L. Miller, M. Simens, A. Askell, P. Welinder, P. F. Christiano, J. Leike, and R. Lowe · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
K. Guu, K. Lee, Z. Tung, P. Pasupat, and M. Chang · 2020
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Machine reading of historical events
O. Honovich, L. T. Hennigen, O. Abend, and S. B. Cohen · 2020
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Birds have four legs?! numersense: Probing numerical commonsense knowledge of pre-trained language models
B. Y. Lin, S. Lee, R. Khanna, and X. Ren · 2020
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Matching cross network for learning to rank in personal search
Z. Qin, Z. Li, M. Bendersky, and D. Metzler · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 2020
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Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model
W. Xiong, J. Du, W. Y. Wang, and V. Stoyanov · 2020
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Linguistically informed masking for representation learning in the patent domain
S. Althammer, M. Buckley, S. Hofstätter, and A. Hanbury · 2021
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Red teaming language models with language models
E. Perez, S. Huang, H. F. Song, T. Cai, R. Ring, J. Aslanides, A. Glaese, N. McAleese, and G. Irving · 2022
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Time masking for temporal language models
G. D. Rosin, I. Guy, and K. Radinsky · 2022
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Temporal attention for language models
G. D. Rosin and K. Radinsky · 2022
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Archivalqa: A large-scale benchmark dataset for open-domain question answering over historical news collections
J. Wang, A. Jatowt, and M. Yoshikawa · 2022
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Probing factually grounded content transfer with factual ablation
P. West, C. Quirk, M. Galley, and Y. Choi · 2022
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Geomlama: Geo-diverse commonsense probing on multilingual pre-trained language models
D. Yin, H. Bansal, M. Monajatipoor, L. H. Li, and K. Chang · 2022
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Falcon-40B: an open large language model with state-of-the-art performance
E. Almazrouei, H. Alobeidli, A. Alshamsi, A. Cappelli, R. Cojocaru, M. Debbah, E. Goffinet, D. Heslow, J. Launay, Q. Malartic, B. Noune, B. Pannier, and G. Penedo · 2023
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A. G. Cohn and J. Hernández-Orallo · 2023
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Salient span masking for temporal understanding
J. R. Cole, A. Chaudhary, B. Dhingra, and P. Talukdar · 2023
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Redpajama: An open source recipe to reproduce llama training dataset, 2023
T. Computer · 2023
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Assessing language model deployment with risk cards
L. Derczynski, H. R. Kirk, V. Balachandran, S. Kumar, Y. Tsvetkov, M. R. Leiser, and S. Mohammad · 2023
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Openllama: An open reproduction of llama, May 2023
X. Geng and H. Liu · 2023
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Do language models have a common sense regarding time? revisiting temporal commonsense reasoning in the era of large language models
R. Jain, D. Sojitra, A. Acharya, S. Saha, A. Jatowt, and S. Dandapat · 2023
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Starcoder: may the source be with you!
R. Li, L. B. Allal, Y. Zi, N. Muennighoff, D. Kocetkov, C. Mou, M. Marone, C. Akiki, J. Li, J. Chim, Q. Liu, E. Zheltonozhskii, T. Y. Zhuo, T. Wang, O. Dehaene, M. Davaadorj, J. Lamy-Poirier, J. Monteiro, O. Shliazhko, N. Gontier, N. Meade, A. Zebaze, M. Yee, L. K. Umapathi, J. Zhu, B. Lipkin, M. Oblokulov, Z. Wang, R. M. V, J. Stillerman, S. S. Patel, D. Abulkhanov, M. Zocca, M. Dey, Z. Zhang, N. Moustafa-Fahmy, U. Bhattacharyya, W. Yu, S. Singh, S. Luccioni, P. Villegas, M. Kunakov, F. Zhdanov, M. Romero, T. Lee, N. Timor, J. Ding, C. Schlesinger, H. Schoelkopf, J. Ebert, T. Dao, M. Mishra, A. Gu, J. Robinson, C. J. Anderson, B. Dolan-Gavitt, D. Contractor, S. Reddy, D. Fried, D. Bahdanau, Y. Jernite, C. M. Ferrandis, S. Hughes, T. Wolf, A. Guha, L. von Werra, and H. de Vries · 2023
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G. Penedo, Q. Malartic, D. Hesslow, R. Cojocaru, A. Cappelli, H. Alobeidli, B. Pannier, E. Almazrouei, and J. Launay · 2023
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Llama: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, A. Rodriguez, A. Joulin, E. Grave, and G. Lample · 2023
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Bitimebert: Extending pre-trained language representations with bi-temporal information
J. Wang, A. Jatowt, M. Yoshikawa, and Y. Cai · 2023
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An overview of temporal commonsense reasoning and acquisition
G. Wenzel and A. Jatowt · 2023
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