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Jingheng Ye

Jingheng Ye has 4 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, English, Language models & pretraining; often with Hai-Tao Zheng, Deqing Zou, Jiwei Tang.

4 papers in our library · 2024–2026

OpenAlex · h-index 6 · 27 works · 184 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 70 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8374

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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. EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction (2024 · 15 citations)
    Most grammatical error correction (GEC) systems return only a corrected sentence. This leaves second-language learners unsure what was wrong. Earlier explanation research also handled explaining apart from correcting. The authors define EXGEC, a task in which one model both fixes a text and justifies each edit. They…
  2. Position: LLMs Can be Good Tutors in English Education (2025 · 9 citations)
    This is a position paper. It runs no experiments and introduces no dataset. The authors argue that current LLM uses in English teaching mostly reuse standard NLP task framings and ignore educational methodology. They contend that LLMs can work as tutors that support human teachers rather than replace them. They…
  3. GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment (2026 · 8 citations)
    Soft prompt compression shrinks long LLM inputs into a few learned vectors. The authors identify two weaknesses in existing methods. First, appended summary tokens tend to be dominated by a few anchor tokens during autoencoder pretraining. Second, high-level summary vectors are fed to the decoder as though they were…
  4. FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing (2025)
    Feedback tools for school-age English learners usually stop at fixing errors (GEC) or giving holistic essay scores.

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. LLM Agents for Education: Advances and Applications ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetZhendong Chu et al.2025 · 110 citations
  2. Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 23 citations
  3. FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English WritingarXiv:2511.22883Jingheng Ye, Shen Wang, Jiaqi Chen, et al.2025

 Co-authors here

12 of 23 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 70 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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