--- title: "Worcester — research institutions and their papers in our library" description: "Worcester (United States): 2 institutions with papers on Elamur Research — 2 universities — and 407 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/worcester/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/worcester/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Worcester # Worcester Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 516,208 (functional urban area, GHSL 2015) **2** institutions with a page**10** works in our library**407** citations of their works ## Institutions (2) 2 universities. ### 🎓 Universities (2) 1. **[Worcester Polytechnic Institute](https://md.research.elamur.ai/free/en/universities/worcester-polytechnic-institute/)**University · Worcester, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*8 works · 380 citations* 2. **[University of Massachusetts Chan Medical School](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-chan-medical-school/)**University · Worcester, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*2 works · 27 citations* ## Works in our library (10) Works of its institutions, the most cited first. 1. **[Bridging the Gap between Training and Inference for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Zhang, Yang Feng, Fandong Meng, et al.*2019 · 299 citations* 2. **[MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chang-2025-main-rag-multi-agent-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.*2025 · 65 citations* 3. **[PaniniQA: Enhancing Patient Education Through Interactive Question Answering](https://md.research.elamur.ai/free/en/papers/cai-2023-paniniqa-enhancing-patient-education-through/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Pengshan Cai, Zonghai Yao, Fei Liu, et al.*2023 · 24 citations* 4. [**LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data arXiv:2406.14498**Sheikh Asif Imran, Mohammad Nur Hossain Khan, Subrata Biswas, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/imran-2024-llasa-sensor-aware-llm-natural/) 5. **[MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills](https://md.research.elamur.ai/free/en/papers/yao-2026-medqa-cs-objective-structured-clinical/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.*2026 · 3 citations* 6. **[LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation](https://md.research.elamur.ai/free/en/papers/yuan-2026-lecode-benchmark-dataset-interactive-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.*2026 · 3 citations* 7. **[Can Large Language Models Infer Causal Relationships from Real-World Text?](https://md.research.elamur.ai/free/en/papers/saklad-2026-can-large-language-models-infer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryan Saklad, Aman Chadha, Oleg V. Pavlov, et al.*2026 · 2 citations* 8. **[The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors](https://md.research.elamur.ai/free/en/papers/lucy-2026-aftermath-drawedumath-vision-language-models/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Li Lucy, Albert Zhang, Nathan Anderson, et al.*2026* 9. **[NEAT-IR: Neural Explainable Analysis Tool for Information Retrieval](https://md.research.elamur.ai/free/en/papers/sukherman-2026-neat-ir-neural-explainable-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lev Sukherman, Artem Frenk, Nina Klimenkova, et al.*2026* 10. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026* ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/agglomerations/worcester/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/worcester/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/worcester/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/worcester/year/2023/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/worcester/year/2019/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 14 The field of science this work belongs to (OpenAlex fields).[Computer Science · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [General Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/general-health-professions/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 9 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Information retrieval & search · 3 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth. - [← back to](https://md.research.elamur.ai/free/en/countries/united-states/) — United States Updated 1 November 2026