Yutong Wu
Yutong Wu has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering, Reasoning; often with Di Huang, Xing Hu, Antonio B. Torralba.
OpenAlex · ORCID · h-index 13 · 73 works · 562 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 39 times in our library · ⭐ Paper Stars ranking: #8997
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksPsychology · 1 workArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work
🧭 Topics 4Research subjects and languages the work is about.Question answering · 1 workVision & language · 1 workLanguage models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- MMToM-QA: Multimodal Theory of Mind Question Answering (2024 · 44 citations)
Existing Theory of Mind (ToM) benchmarks test models on a single modality, either video or text. Human mental-state reasoning, however, combines whatever evidence is available. The authors introduce MMToM-QA, a benchmark that pairs household activity videos with textual descriptions of the scene and the person's… - StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion (2025 · 7 citations)
Autoformalization means converting natural-language math problems into formal statements, here in Lean 4. Current LLM approaches are still inaccurate. General-purpose models often misuse Lean details, such as calling functions that do not exist. Specialized translators trained on narrow annotated data tend to misread… - Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning (2026)
Parallel reasoning lets an LLM explore several solution attempts at once and then merge them. In practice, the explorers and the merger are usually built separately. The explorers do not know what the aggregator needs, so useful intermediate evidence gets lost at the hand-off. Rhombus treats this hand-off as a…
Co-authors here
- Di Huang ×2
- Xing Hu ×2
- Antonio B. Torralba
- Bo Zhou
- Chenchen Zhang
- Chuanyang Jin
- Guanhua Huang
- Jing Cao
- Joshua B. Tenenbaum
- Lei Qi
- Qi Yi
- Rui Zhang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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