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Bryan Routledge

Bryan Routledge has 2 papers in our library, in 2014–2021, most of them on Language models & pretraining, Reasoning; often with Charese Smiley, Chong Wang, Dani Yogatama.

2 papers in our library · 2014–2021

OpenAlex · ORCID · h-index 27 · 105 works · 5,013 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 307 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #3673

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States1995–2025 · 49 papersEmployment since 1995 · Associate Professor of Finance, Tepper School of Business🤝National Bureau of Economic ResearchCambridge · United States2001–2005 · 2 papers🎓University of British ColumbiaVancouver · CanadaEducation · Ph.D., Faculty of Commerce

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workMathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20211 paper

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FinQA: A Dataset of Numerical Reasoning over Financial Data (2021 · 513 citations)
    FinQA targets question answering over corporate financial reports. Answers there usually require combining numbers from tables and prose and then chaining several arithmetic steps. General-domain benchmarks such as DROP mostly need one-step calculations, so they test this skill poorly. The authors hired eleven…
  2. Dynamic Language Models for Streaming Text (2014 · 32 citations)
    Most language models assume word distributions stay fixed over time. That assumption fits poorly with fast-changing streams like news and social media. Yogatama et al. propose a probabilistic language model whose parameters evolve daily and can depend on observable non-text signals, here stock market movements. Each…

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. FinQA: A Dataset of Numerical Reasoning over Financial DataConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiyu Chen, Wenhu Chen, Charese Smiley, et al.2021 · 513 citations
  2. Narrative framing of consumer sentiment in online restaurant reviews ↗First Monday · no summary yetDan Jurafsky et al.2014 · 140 citations
  3. The Utility of Text: The Case of Amicus Briefs and the Supreme Court ↗arXiv:1409.7985 · no summary yetYanchuan Sim, Bryan Routledge, Noah A. Smith2014 · 36 citations
  4. Dynamic Language Models for Streaming TextTransactions of the Association for Computational Linguistics (TACL)Dani Yogatama, Chong Wang, Bryan R. Routledge, et al.2014 · 32 citations
  5. Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus ↗Journal of Cultural Analytics · no summary yetDan Jurafsky et al.2016 · 25 citations
  6. Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus ↗no summary yetDan Jurafsky et al.2018 · 2 citations

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 307 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

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