--- title: "James Caverlee — author profile and papers in our library" description: "James Caverlee, Texas A&M University: 3 papers on Elamur Research (2024–2026), h-index 45 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/james-caverlee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/james-caverlee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / James Caverlee # James Caverlee James Caverlee has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/), [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/), [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5048489384) · [ORCID](https://orcid.org/0000-0001-8350-8528) · [Wikidata](https://www.wikidata.org/wiki/Q102345358) · [**h-index 45**](https://openalex.org/authors/A5048489384) · [289 works](https://openalex.org/works?filter=author.id:A5048489384) · [8,960 citations](https://openalex.org/works?filter=author.id:A5048489384&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/james-caverlee/#papers) · [🔗 Cited 114 times in our library](https://md.research.elamur.ai/free/en/authors/james-caverlee/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9020](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9020) 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=James+Caverlee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=James+Caverlee) · [dblp](https://dblp.org/search?q=James+Caverlee) · [ACL Anthology](https://aclanthology.org/search/?q=James+Caverlee) ## Affiliations [🎓**Texas A&M University** College Station · United States 2007–2026 · 232 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2004–2011 · 24 papersEducation](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Stanford University** Stanford · United States Education](https://md.research.elamur.ai/free/en/universities/stanford-university/) 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. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/james-caverlee/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/james-caverlee/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/james-caverlee/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[How to Train Data-Efficient LLMs](https://md.research.elamur.ai/free/en/papers/sachdeva-2024-train-data-efficient-llms/)** *(2024 · 50 citations)* Pre-training large language models consumes enormous amounts of data and compute, and scaling laws mean that simply adding more of either yields shrinking gains. 2. **[Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning](https://md.research.elamur.ai/free/en/papers/parashar-2025-curriculum-reinforcement-learning-easy-hard/)** *(2025 · 23 citations)* RL post-training, as used for DeepSeek-R1, helps LLMs reason, but it struggles on hard problems. When a base model rarely solves a task zero-shot, correctness-only rewards are too sparse to learn from. The authors frame reasoning as generalization: learning principles on simpler problems and transferring them to… 3. **[DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management](https://md.research.elamur.ai/free/en/papers/yin-2026-dmretriever-family-models-improved-text/)** *(2026 · 1 citation)* General-purpose embedding models perform unevenly when used for disaster management search. A model may work well for one kind of request, such as checking a claim, and fail on another, such as finding relevant tweets. DMRetriever addresses this with six dense retrievers ranging from 33M to 7.6B parameters, built on… ## 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. **[Next-item Recommendation with Sequential Hypergraphs ↗](https://doi.org/10.1145/3397271.3401133) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jianling Wang et al.*2020 · 282 citations* 2. **[Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition ↗](https://aclanthology.org/2020.emnlp-main.372/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yun He et al.*2020 · 128 citations* 3. **[Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems ↗](https://doi.org/10.1145/3397271.3401177) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Ziwei Zhu, Jianling Wang, James Caverlee*2020 · 104 citations* 4. **[Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation ↗](https://doi.org/10.1145/3397271.3401178) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Ziwei Zhu et al.*2020 · 89 citations* 5. [**How to Train Data-Efficient LLMs arXiv:2402.09668**Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/sachdeva-2024-train-data-efficient-llms/) 6. **[PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge ↗](https://aclanthology.org/2020.emnlp-main.611/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yun He et al.*2020 · 25 citations* 7. [**Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning arXiv:2506.06632**Shubham Parashar, Shurui Gui, Xiner Li, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/parashar-2025-curriculum-reinforcement-learning-easy-hard/) 8. **[DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management](https://md.research.elamur.ai/free/en/papers/yin-2026-dmretriever-family-models-improved-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Yin, Xiangjue Dong, Chengkai Liu, et al.*2026 · 1 citation* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/) - [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/) - [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) - [Noveen Sachdeva](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/) - [Xiangjue Dong](https://md.research.elamur.ai/free/en/authors/xiangjue-dong/) - [Xiner Li](https://md.research.elamur.ai/free/en/authors/xiner-li/) - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×3 - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 114 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/james-caverlee/cited-by/). Updated 3 November 2026