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Xinghua Zhang

Xinghua Zhang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Question answering; often with Haiyang Yu, Bowen Yu, Fei Huang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 15 · 109 works · 773 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 119 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4879

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. 20 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Wider and Deeper LLM Networks are Fairer LLM Evaluators (2023 · 74 citations)
    Judging open-ended LLM outputs against human preference is difficult. Lexical metrics such as BLEU and ROUGE track human opinion poorly, and manual annotation is slow and expensive. Existing LLM-as-evaluator schemes such as FairEval and LLM-as-a-judge mostly average several identical LLM judgments. This amounts to a…
  2. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA (2024 · 71 citations)
    Most current long-context benchmarks make inputs longer by padding them with unrelated filler text. In those setups, the evidence for an answer usually sits in one place, so a model can skip most of the input and still answer correctly. Wang et al. address this with Loong, a multi-document QA benchmark where every…

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. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 74 citations
  2. EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetTao Zou et al.2025 · 5 citations

 Co-authors here

9 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 119 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

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