🧑‍🔬 Manuela Veloso

🏛️ Affiliations

🏢JPMorgan Chase & CoNew York · United States2019–2026 · 47 paperscurrent🔬J.P. MorganLondon · United Kingdom2020–2026 · 32 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States1987–2025 · 600 papersEducation 1987–1992 · PhD, Computer ScienceEmployment since 1992 · Herbert A. Simon University Professor Emerita, Computer Science🎓Universidad Carlos III de MadridMadrid · Spain2021–2023 · 2 papers🎓Boğaziçi UniversityIstanbul · Türkiye2010–2018 · 2 papers🎓Eindhoven University of TechnologyEindhoven · Netherlands2008 · 2 papers🏢AT&TBedminster · United States1997–2000 · 2 papers

🏛️J.P.Morgan ChaseNew York · United States2018Employment since 2018 · Head, Managing Director, AI Research

🎓Boston UniversityBoston · United States1984–1986Education 1984–1986 · Master of Arts, Computer Science

🏛️Universidade Técnica de Lisboa Instituto Superior TécnicoLisboa · Portugal1976–1984Education 1976–1980 · Licenciatura, Engenharia ElectrotecnicaEducation 1980–1984 · Master, Engenharia Electrotecnica

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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. Distill and Align Decomposition for Enhanced Claim Verification (2026)
   The paper tackles a weak spot in decompose-then-verify fact-checking of long LLM outputs. The step that splits sentences into subclaims is usually tuned separately from the verifier. It can therefore produce claims that are too fragmented, too coarse, or missing context for the verifier to judge well. The authors…
2. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images (2026)
   Generalist vision-language models (VLMs) score well on standard document understanding benchmarks. It is less clear whether they can pull many related fields out of varied business documents and arrange them according to a schema the user defines on the fly. Existing resources do not test this well. KEE and RE…
3. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance (2026)
   The paper asks whether the phrasing of a query, and not only the model or its decoding, affects how often LLMs hallucinate.

All works

12 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. PRODIGY ↗ACM SIGART Bulletin · no summary yetJaime Carbonell et al.1991 · 232 citations
2. PRODIGY4.0: The Manual and Tutorial ↗no summary yetJaime G. Carbonell et al.1992 · 140 citations
3. MineRL: A Large-Scale Dataset of Minecraft Demonstrations ↗International Joint Conference on Artificial Intelligence · no summary yetWilliam H. Guss et al.2019 · 132 citations
4. Mobile Robot Planning to Seek Help with Spatially-Situated Tasks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetStephanie L. Rosenthal, Manuela Veloso53 citations
5. The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors ↗arXiv (Cornell University) · no summary yetWilliam H. Guss et al.2019 · 51 citations
6. LAW: Legal Agentic Workflows for Custody and Fund Services Contracts ↗Proceedings of the 31st International Conference on Computational Linguistics: Industry Track · no summary yetWilliam Watson et al.2025 · 6 citations
7. Guaranteeing Reproducibility in Deep Learning Competitions ↗arXiv (Cornell University) · no summary yetBrandon Houghton et al.2020 · 5 citations
8. Planning and Learning in PRODIGY: Overview of an Integrated Architecture ↗The MIT Press eBooks · no summary yetJaime Carbonell et al.1995 · 3 citations
9. Perturb Your Data: Paraphrase-Guided Training Data Watermarking ↗arXiv:2512.17075 · no summary yetPranav Shetty et al.2025 · 1 citation
10. Distill and Align Decomposition for Enhanced Claim VerificationFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2026
11. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document ImagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.2026
12. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026

🤝 Co-authors here

10 co-authors with a page, the most papers together first.

• Samuel Mensah ×2
• Xiaomo Liu ×2
• Arturo Oncevay
• Charese Smiley
• Elena Kochkina
• Jabez Magomere
• Pranav Shetty
• Simerjot Kaur
• Sumitra Ganesh
• Zhiqiang Ma

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• ACM SIGART Bulletin
• International Joint Conference on Artificial Intelligence
• Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
• Proceedings of the AAAI Conference on Artificial Intelligence
• The MIT Press eBooks

🔗 Cited by

Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 1 November 2026

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