Qiong Wu
Qiong Wu has 2 papers in our library, in 2026, most of them on Question answering, Evaluation & benchmarks, Vision & language; often with Dongyan Zhao, Kai He, Qian Ma.
OpenAlex · h-index 1 · 3 works · 1 citations OpenAlex, 2026-10-14
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 3Research subjects and languages the work is about.Vision & language · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 work
Works by year
2020s
Papers
- Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification (2026 · 1 citation)
Knowledge-based VQA requires facts that the image alone does not show. Multimodal LLMs often fail at it because they must recognise the exact real-world entity and then find the right supporting passage. The authors argue that most MM-RAG pipelines merge these two grounding steps into one costly, trained multimodal… - Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation (2026)
Evaluating question answering (QA) outputs from LLMs at scale is hard. Lexical metrics such as EM, F1 or BLEU miss semantic equivalence. LLM-as-a-Judge setups based on commercial APIs are slow and expensive and rarely explain why an answer failed. HiEval addresses both problems with two models trained in sequence…
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
Updated
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