🧑‍🔬 James Caverlee

🏛️ Affiliations

🎓Texas A&M UniversityCollege Station · United States2007–2026 · 232 papersEmploymentcurrent🎓Georgia Institute of TechnologyAtlanta · United States2004–2011 · 24 papersEducation🎓Stanford UniversityStanford · United StatesEducation

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

📄 Papers

The most cited first (OpenAlex and our library).

1. How to 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 (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 (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 ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetJianling Wang et al.2020 · 282 citations
2. Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYun He et al.2020 · 128 citations
3. Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZiwei Zhu, Jianling Wang, James Caverlee2020 · 104 citations
4. Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZiwei Zhu et al.2020 · 89 citations
5. How to Train Data-Efficient LLMsarXiv:2402.09668Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, et al.2024 · 50 citations
6. PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYun He et al.2020 · 25 citations
7. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM ReasoningarXiv:2506.06632Shubham Parashar, Shurui Gui, Xiner Li, et al.2025 · 23 citations
8. DMRetriever: A Family of Models for Improved Text Retrieval in Disaster ManagementAnnual Meeting of the Association for Computational Linguistics (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
• Jianmo Ni
• Julian McAuley
• Noveen Sachdeva
• Xiangjue Dong
• Xiner Li
• 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): 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 →.

Updated 3 November 2026

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