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Daniel A. McFarland

Daniel A. McFarland has 3 papers in our library, in 2018–2024, most of them on Language models & pretraining; often with Hancheng Cao, James Zou, Weixin Liang.

3 papers in our library · 2018–2024

OpenAlex · ORCID · Wikidata · h-index 41 · 115 works · 6,954 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 356 times in our library · 21 more in our library without a page yet · ⭐ Paper Stars ranking: #3239

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Can large language models provide useful feedback on research papers? A large-scale empirical analysis (2023 · 332 citations)
    Rising submission volumes make it harder to get timely, high-quality critique of manuscripts. ICLR submissions, for example, grew from 960 in 2018 to 4,966 in 2023. Junior and under-resourced researchers are hit hardest. The authors test whether GPT-4 can supply useful reviewer-style comments. Their pipeline parses a…
  2. Measuring the Evolution of a Scientific Field through Citation Frames (2018 · 314 citations)
    Citation counts usually treat every reference as equal, but authors cite earlier work for very different purposes.
  3. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews (2024 · 119 citations)
    Detecting LLM-written text one document at a time is unreliable, and humans perform barely better than chance at it.

All works

24 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. The Diversity–Innovation Paradox in Science ↗Proceedings of the National Academy of Sciences · no summary yetBas Hofstra et al.2020 · 984 citations
  2. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
  3. Measurement error in network data: A re-classification ↗Social Networks · no summary yetDan J. Wang et al.2012 · 197 citations
  4. Differentiating language usage through topic models ↗Poetics · no summary yetDaniel A. McFarland et al.2013 · 137 citations
  5. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
  6. Making the Connection: Social Bonding in Courtship Situations ↗American Journal of Sociology · no summary yetDaniel A. McFarland, Dan Jurafsky, Craig M. Rawlings2013 · 115 citations
  7. Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates ↗Computer Speech & Language · no summary yetRajesh Ranganath, Dan Jurafsky, Daniel A. McFarland2012 · 80 citations
  8. Towards a Computational History of the ACL: 1980-2008 ↗Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries · no summary yetAshton Anderson, Dan Jurafsky, Daniel A. McFarland2012 · 76 citations
  9. Citing for high impact ↗ACM/IEEE Joint Conference on Digital Libraries · no summary yetXiaolin Shi, Jure Leskovec, Daniel A. McFarland2010 · 75 citations
  10. Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetVinodkumar Prabhakaran et al.2016 · 73 citations
  11. TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents ↗no summary yetRamesh M. Nallapati, Daniel A. McFarland, Christopher D. Manning2011 · 25 citations
  12. A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model ↗Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities · no summary yetNikhil Johri et al.2011 · 16 citations
  13. Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation ↗Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetDan Jurafsky, Rajesh Ranganath, Dan McFarland2009 · 16 citations
  14. It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates ↗Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing · no summary yetRajesh Ranganath, Dan Jurafsky, Dan McFarland2009 · 15 citations
  15. Citation Classification for Behavioral Analysis of a Scientific Field ↗arXiv (Cornell University) · no summary yetDavid Jurgens et al.2016 · 12 citations
  16. Modeling Affinity based Popularity Dynamics ↗no summary yetMinkyoung Kim, Daniel A. McFarland, Jure Leskovec2017 · 11 citations
  17. Mapping Three Decades of Intellectual Change in Academia ↗arXiv (Cornell University) · no summary yetDaniel Ramage, Christopher D. Manning, Daniel A. McFarland2020 · 3 citations
  18. Coming into relations: How communication reveals and persuades relational decisions ↗Social Networks · no summary yetDaniel A. McFarland et al.2024 · 2 citations
  19. How random is the review outcome? A systematic study of the impact of external factors on eLife peer review ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetWeixin Liang et al.2023 · 1 citation
  20. Which universities lead and lag? Toward university rankings based on scholarly output ↗no summary yetDaniel Ramage, Christopher D. Manning, Daniel A. McFarland2010 · 1 citation
  21. Diversifying History ↗no summary yetStephan Risi et al.2021

 Co-authors here

12 of 15 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 356 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

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