--- title: "Hunter Lang — author profile and papers — Elamur Research" description: "Hunter Lang, Massachusetts Institute of Technology: 3 papers on Elamur Research (2022–2026), h-index 7 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/hunter-lang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hunter-lang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hunter Lang # Hunter Lang Hunter Lang has 3 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/), [Monica Agrawal](https://md.research.elamur.ai/free/en/authors/monica-agrawal/), [Stefan Hegselmann](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/). 3 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5041547937) · [**h-index 7**](https://openalex.org/authors/A5041547937) · [34 works](https://openalex.org/works?filter=author.id:A5041547937) · [532 citations](https://openalex.org/works?filter=author.id:A5041547937&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hunter-lang/#papers) · [🔗 Cited 219 times in our library](https://md.research.elamur.ai/free/en/authors/hunter-lang/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2751](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2751) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hunter+Lang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hunter+Lang) · [dblp](https://dblp.org/search?q=Hunter+Lang) · [ACL Anthology](https://aclanthology.org/search/?q=Hunter+Lang) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2017–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2021–2022 · 5 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🏢**Microsoft** Redmond · United States 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/hunter-lang/year/2026/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/hunter-lang/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)** *(2022 · 454 citations)* Extracting structured variables from clinical notes is difficult. The text is full of jargon and irregular phrasing, annotation requires medical experts, and most annotated corpora have data use agreements that forbid sending them to external LLM APIs. The authors ask whether a general-domain model, InstructGPT… 2. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/)** *(2022 · 384 citations)* Clinical notes contain many variables that never reach the structured fields of electronic health records. 3. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/)** *(2026 · 14 citations)* This position paper by Feng et al. (ACL 2026) argues that a single general-purpose LLM cannot reliably handle complex, context-dependent, or subjective settings. It contributes no new dataset or model. Instead, it makes a conceptual case that any one model leaves gaps on three fronts. It misses parts of real-world… ## All works 8 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. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 454 citations* 2. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 384 citations* 3. **[Co-training Improves Prompt-based Learning for Large Language Models ↗](https://arxiv.org/abs/2202.00828) arXiv (Cornell University) · no summary yet**Hunter Lang et al.*2022 · 41 citations* 4. **[Learning to Decode Collaboratively with Multiple Language Models ↗](https://aclanthology.org/2024.acl-long.701/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zejiang Shen et al.*2024 · 35 citations* 5. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.*2026 · 14 citations* 6. **[Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic ↗](https://doi.org/10.1609/aaai.v35i6.16631) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hunter Lang, Hoifung Poon*2021 · 14 citations* 7. **[Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning ↗](https://arxiv.org/abs/2107.12591) arXiv (Cornell University) · no summary yet**Hoifung Poon, Hai Wang, Hunter Lang*2021 · 1 citation* 8. **[Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning ↗](https://doi.org/10.3233/faia210361) Frontiers in artificial intelligence and applications · no summary yet**Hoifung Poon, Hai Wang, Hunter Lang*2021* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/) ×2 - [Monica Agrawal](https://md.research.elamur.ai/free/en/authors/monica-agrawal/) ×2 - [Stefan Hegselmann](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/) ×2 - [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) ×2 - [Alisa Liu](https://md.research.elamur.ai/free/en/authors/alisa-liu/) - [Chen-Yu Lee](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/) - [Shangbin Feng](https://md.research.elamur.ai/free/en/authors/shangbin-feng/) - [Shannon Zejiang Shen](https://md.research.elamur.ai/free/en/authors/shannon-zejiang-shen/) - [Tomas Pfister](https://md.research.elamur.ai/free/en/authors/tomas-pfister/) - [Weijia Shi](https://md.research.elamur.ai/free/en/authors/weijia-shi/) - [Wenxuan Ding](https://md.research.elamur.ai/free/en/authors/wenxuan-ding/) - [Xiaochuang Han](https://md.research.elamur.ai/free/en/authors/xiaochuang-han/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ×2 - Frontiers in artificial intelligence and applications - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 219 times (of the 149,439 papers whose bibliographies we read); [42 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hunter-lang/cited-by/). Updated 31 October 2026