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Lei Huang

Lei Huang has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Multilingual & cross-lingual NLP; often with Xiaocheng Feng, Bing Qin, Weitao Ma.

5 papers in our library · 2023–2026

OpenAlex · h-index 1 · 5 works · 1 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 881 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #991

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

🎓Harbin Institute of TechnologyHarbin · China2026 · 5 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksInformation Systems · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 worksMultilingual & cross-lingual NLP · 1 workInformation retrieval & search · 1 work

💡 Concepts 3Key ideas and methods explained on our concept pages.Chatbots · 1 workLanguage model · 1 workLarge language models · 1 work

 Works by year

2020s

20262 papers20252 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions (2023 · 3,231 citations)
    Large language models often produce fluent, convincing text that is not supported by facts or by the input they were given.
  2. SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment (2025 · 20 citations)
    Large language models reason well in English but much less reliably in other languages, especially low-resource ones.
  3. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization (2025 · 11 citations)
    The paper addresses faithfulness hallucination in retrieval-augmented long-form question answering (LFQA), where a model writes paragraph-length answers containing claims that the retrieved documents do not support or that contradict them.
  4. x1: Learning to Think Adaptively Across Languages and Cultures (2026 · 1 citation)
    Most reasoning LLMs think mainly in one dominant language, usually English, even when a question is posed in another language or depends on a specific culture.
  5. Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management (2026)
    LLM agents working on long-horizon tasks need a memory system that turns a stream of incoming text chunks into a compact, usable store.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
  2. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
  3. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Huang, Xiaocheng Feng, Weitao Ma, et al.2025 · 11 citations
  4. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
  5. Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory ManagementAnnual Meeting of the Association for Computational Linguistics (ACL)Weitao Ma, Xiaocheng Feng, Lei Huang, et al.2026
  6. Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLiang Zhao et al.2026

 Co-authors here

12 of 29 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 881 times (of the 149,439 papers whose bibliographies we read); 181 citing papers with a page here →.

Updated

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