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Jeremy Cole

Jeremy Cole has 3 papers in our library, in 2022–2024, most of them on Language models & pretraining, Knowledge graphs & ontologies; often with Bhuwan Dhingra, Daniel Gillick, Jacob Eisenstein.

3 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 7 · 22 works · 247 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 365 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #3377

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

🏢GoogleMountain View · United States2019–2023 · 10 papers🎓Pennsylvania State UniversityState College · United States2016–2019 · 7 papers🏢Google DeepMindLondon · United Kingdom2022–2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

💡 Concepts 1 Knowledge representation and reasoning · 1 work

📚 Shelves 6 Computer Science · 3 works Artificial Intelligence · 3 works Arts and Humanities · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work Information Systems · 1 work

🧭 Topics 2 Language models & pretraining · 2 works Knowledge graphs & ontologies · 1 work

 Works by year

2020s

20241 paper20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Time-Aware Language Models as Temporal Knowledge Bases (2022 · 344 citations)
    Language models are often viewed as repositories of facts. However, many facts become outdated over time: someone changes club, position, or employer. Models, meanwhile, are trained on a snapshot of data collected at a particular moment. The authors from Google Research investigate how this affects the knowledge of…
  2. Selectively Answering Ambiguous Questions (2023 · 78 citations)
    Trustworthy language models should decline to answer when unsure. Earlier work on confidence estimation mostly assumed the question itself is clear, so that only the model's knowledge could be lacking. This paper separates two sources of doubt. Epistemic uncertainty means not knowing the fact. Denotational…
  3. Gecko: Versatile Text Embeddings Distilled from Large Language Models (2024 · 72 citations)
    General-purpose text embedding models need large, varied training data to work across many tasks, and human-labeled collections are costly and limited in coverage.

All works

4 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. Time-Aware Language Models as Temporal Knowledge BasesBhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.Transactions of the Association for Computational Linguistics (TACL) · 344 citations
  2. Selectively Answering Ambiguous QuestionsJeremy Cole, Michael Zhang, Daniel Gillick, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 78 citations
  3. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsJinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.arXiv:2403.20327 · 72 citations
  4. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? (original ↗)Jinhyuk Lee et al.2024 · arXiv:2406.13121 · 51 citations · no summary yet

 Co-authors here

11 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 365 times (of the 141,840 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jeremy-cole/