Yan Lu
Yan Lu has 5 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Jinyu Li, Shujie Liu, Xiaoyi Zhang.
OpenAlex · h-index 1 · 5 works · 1 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9735
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Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 4 worksArts and Humanities · 2 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training (2026 · 4 citations)
Reinforcement-learning training of GUI agents needs many interactive environments. Existing benchmarks such as WebArena or OSWorld are built by hand and cover only a limited number of applications. InfiniteWeb addresses this by automatically synthesizing complete multi-page websites together with tasks and… - SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation (2026 · 3 citations)
Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose… - Closing the Modality Reasoning Gap for Speech Large Language Models (2026 · 2 citations)
Speech LLMs, which pair a speech encoder and adapter with a text LLM, reason noticeably worse on spoken questions than on the same questions in text. - CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation (2026 · 1 citation)
Turning images of tables into LaTeX code is useful for digitizing scientific documents. However, multimodal LLMs often get cell merges, line styles or cell values wrong, or produce code that does not compile. The authors argue that standard RL post-training (e.g., GRPO) scores the whole output with one reward. This… - From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy Assimilation (2026 · 1 citation)
End-to-end GUI agents, which map screenshots directly to actions, are simpler to deploy than framework-based computer-use systems but score noticeably lower on OSWorld-Verified.
Co-authors here
- Jinyu Li ×2
- Shujie Liu ×2
- Xiaoyi Zhang ×2
- Zezhou Wang ×2
- Ziyun Zhang ×2
- Bin Li
- Haoqin Sun
- Hui Wang
- Jiahao Li
- Jiaming Zhou
- Jinghua Zhao
- Jitao Sang
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