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Ymyang

Ymyang has 2 papers in our library, in 2026, most of them on Reasoning; often with Jiang Zhong, Junnan Zhu, Kaiwen Wei.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12314

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 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. From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation (2026)
    Generative recommenders produce semantic item IDs one step at a time. This left-to-right training tends to anchor them on the most recent interactions and miss longer-range user intent. To counter this, the authors introduce Masked History Learning (MHL), which changes how decoder-only generative models are trained.…
  2. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis (2026)
    The paper tackles automated psychiatric diagnosis with LLMs. Existing evaluation data are mostly social-media posts or synthetic stories with coarse labels, so they say little about real clinical use. The authors build MentalDx Bench from 712 de-identified electronic health records collected at partner hospitals.…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYmyang et al.2026

 Co-authors here

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

Venues

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

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ymyang/