Wenbo Li
Wenbo Li has 3 papers in our library, in 2026, most of them on Language models & pretraining, Question answering, Vision & language; often with Jing Huang, Jiri Gesi, Kalpa Gunaratna.
OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #11366
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workQuestion answering · 1 workVision & language · 1 work
Works by year
2020s
Papers
- OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation (2026 · 8 citations)
LLM agents can produce plausible web behavior, but it is hard to check whether they reproduce what a specific person would actually do. - Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most (2026)
LLM tutors are often proposed as conversational add-ons to intelligent tutoring systems (ITS). It was unclear whether they can separate three kinds of student steps that ITS routinely distinguish: optimal moves, logically sound but longer detours, and outright errors. The authors build a benchmark for this three-way… - Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA (2026)
The paper tackles visually grounded document question answering (VGDQA), where a model must answer a question about a document and also mark where each answer sits on the page.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA): BEA 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/wenbo-li/