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Cheng Zhang

Cheng Zhang has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Alan Schelten, Anthony Hartshorn, Nicola Cancedda.

4 papers in our library · 2025–2026

OpenAlex · h-index 1 · 3 works · 2 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 53 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6878

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

🏢Ant GroupHangzhou · China2026 · 1 papercurrent🎓Jilin UniversityChangchun · China2026 · 1 papercurrent🎓Tianjin University of Finance and EconomicsTianjin · China2026 · 1 papercurrent

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. HalluLens: LLM Hallucination Benchmark (2025 · 82 citations)
    Research on LLM hallucination lacks a shared framework: definitions differ between benchmarks, and hallucination is often treated as the same thing as factuality.
  2. Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations (2025 · 11 citations)
    Large language models often state wrong answers in a confident tone, which leads users to trust them too much.
  3. HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents (2026 · 2 citations)
    LLM agents struggle to stay coherent across long, multi-session dialogues. Most memory systems store past turns as embeddings and fetch them by semantic similarity alone, so they miss links between memories that are related through shared history rather than wording. HeLa-Mem addresses this with a memory design…
  4. All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG (2026 · 1 citation)
    Multilingual RAG (mRAG) systems can draw on documents written in many languages. This paper shows that the reranking step skews heavily toward English and toward the language of the query, so relevant evidence in other languages tends to be ignored. To test this, the authors built a pipeline over a 13-language…

All works

5 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. HalluLens: LLM Hallucination BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Ziwei Ji, Alan Schelten, et al.2025 · 82 citations
  2. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
  3. HeLa-Mem: Hebbian Learning and Associative Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinchang Zhu, Jindong Li, Cheng Zhang, et al.2026 · 2 citations
  4. All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Wang, Guozhao Mo, Yafei Shi, et al.2026 · 1 citation
  5. DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShuyu Zhang et al.2026

 Co-authors here

12 of 20 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 53 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

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