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Yaxuan Li

Yaxuan Li has 2 papers in our library, in 2026, most of them on Machine translation, Reasoning, Semantic parsing & meaning representation; often with Juanzi Li, Lei Hou, Shangqing Tu.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 10 works · 12 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11023

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

 Affiliations

🎓Beijing University of TechnologyBeijing · China2026 · 1 papercurrent🎓ShanghaiTech UniversityShanghai · China2026 · 1 papercurrent🎓Beijing Institute of TechnologyBeijing · China2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workMachine translation · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DeepPrune: Parallel Scaling without Inter-trace Redundancy (2026 · 3 citations)
    Parallel scaling has an LLM generate many Chain-of-Thought traces for one problem and aggregate them. It improves reasoning accuracy but consumes enormous token budgets. The authors show that most of this spending is redundant. Across trace pairs from four reasoning models, more than 80% of pairs reach the same final…
  2. Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR (2026)
    The paper builds a translation pipeline with a semantic pivot, in the spirit of the translation pyramid. Each language gets two modules: one that reads a sentence into English AMR, and one that writes the target sentence from AMR. The training data is a silver AMR corpus made by a strong parser from the United…

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. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe ↗arXiv:2604.13016 · no summary yetYaxuan Li et al.2026 · 58 citations
  2. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
  3. Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMRWenyang Gao, Yaxuan Li, Yunxin Bao, et al.Machine translation

 Co-authors here

7 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.

 Cited by

Papers of our library cite their works 61 times (of the 149,439 papers whose bibliographies we read).

Updated

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