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Hongyu Li

Hongyu Li has 4 papers in our library, in 2020–2026, most of them on Language models & pretraining, Question answering, Text generation; often with Haifeng Wang, Hua Ren Wu, Jing Liu.

4 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 28 · 132 works · 4,174 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 29 times in our library · ⭐ Paper Stars ranking: #9279

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. 41 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine (2022 · 27 citations)
    Dense passage retrieval depends on large, human-annotated training and evaluation data. Such resources are plentiful for English but scarce for Chinese, where existing sets are tiny (TianGong-PDR), machine-translated (mMARCO), or built only from click logs (Sougou-QCL). The authors present DuReader_retrieval, a…
  2. DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications (2020 · 13 citations)
    Neural machine reading comprehension (MRC) models often fail in real-world use. They may answer paraphrased questions inconsistently (over-sensitivity), get distracted by passage spans that share many words with the question (over-stability), or struggle outside their training domain (generalization). Earlier…
  3. SRCB at SemEval-2026 Task 5 A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation (2026 · 1 citation)
    The paper describes the first-ranked system for SemEval-2026 Task 5. In this task, models do not pick one correct sense of a homonym. They instead predict how plausible humans find a given sense in a short story, on a 1–5 scale. Evaluation uses Spearman correlation together with an accuracy measure that counts a…
  4. PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents (2026)
    LLM agents working on tasks with hundreds or thousands of steps hit a trade-off. Keeping the whole history fills the context window and forces blunt truncation. Summarizing at every step loses details too early. PACE (Lei Wei et al., Alibaba / Peking University, ACL 2026) treats context construction as a Next Step…

 Co-authors here

11 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 29 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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