--- title: "Haizhen Huang · Microsoft — author profile and papers" description: "Haizhen Huang, Microsoft: 3 papers on Elamur Research (2024–2026), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haizhen-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haizhen-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haizhen Huang # Haizhen Huang Haizhen Huang has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Weiwei Deng](https://md.research.elamur.ai/free/en/authors/weiwei-deng/), [Feng Sun](https://md.research.elamur.ai/free/en/authors/feng-sun/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5014900195) · [ORCID](https://orcid.org/0009-0005-7145-2500) · [Wikidata](https://www.wikidata.org/wiki/Q130937819) · [**h-index 7**](https://openalex.org/authors/A5014900195) · [39 works](https://openalex.org/works?filter=author.id:A5014900195) · [255 citations](https://openalex.org/works?filter=author.id:A5014900195&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/haizhen-huang/#papers) · [🔗 Cited 120 times in our library](https://md.research.elamur.ai/free/en/authors/haizhen-huang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7138](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7138) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Haizhen+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haizhen+Huang) · [dblp](https://dblp.org/search?q=Haizhen+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Haizhen+Huang) ## Affiliations [🏢**Microsoft** Redmond · United States 2021–2025 · 17 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Central China Normal University** Wuhan · China 2024–2025 · 3 papers*current*](https://ror.org/03x1jna21) · [🎓**Shandong University** Jinan · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Peking University** Beijing · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Microsoft Research Asia** Beijing · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Sun Yat-sen University** Guangzhou · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haizhen-huang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haizhen-huang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haizhen-huang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Calibrating LLM-Based Evaluator](https://md.research.elamur.ai/free/en/papers/liu-2024-calibrating-llm-based-evaluator/)** *(2024 · 71 citations)* LLMs are increasingly used as reference-free judges of generated text, but their scores often diverge from human experts. 2. **[TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/)** *(2025 · 8 citations)* Reasoning-focused LLMs that generate long Chain-of-Thought (CoT) often overthink, spending many tokens even on easy questions. Existing compression approaches usually need laborious data labeling, model interpolation (as in CoT-Valve), or costly RL with length penalties. 3. **[Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory](https://md.research.elamur.ai/free/en/papers/tang-2026-mnemis-dual-route-retrieval-hierarchical/)** *(2026 · 1 citation)* Long-running LLM agents need a memory of past conversations. Current RAG and Graph-RAG systems retrieve that memory mainly by similarity, through embeddings or BM25. This fast, "System-1" style of lookup misses evidence that is only weakly related to the query on the surface. It also struggles when a question needs a… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[PromptBERT: Improving BERT Sentence Embeddings with Prompts ↗](https://aclanthology.org/2022.emnlp-main.603/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ting Jiang et al.*2022 · 198 citations* 2. **[Calibrating LLM-Based Evaluator](https://md.research.elamur.ai/free/en/papers/liu-2024-calibrating-llm-based-evaluator/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.*2024 · 71 citations* 3. [**TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression arXiv:2506.02678**Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/) 4. **[Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory](https://md.research.elamur.ai/free/en/papers/tang-2026-mnemis-dual-route-retrieval-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Tang, Xin Yu, Ziyu Xiao, et al.*2026 · 1 citation* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Weiwei Deng](https://md.research.elamur.ai/free/en/authors/weiwei-deng/) ×3 - [Feng Sun](https://md.research.elamur.ai/free/en/authors/feng-sun/) ×2 - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ×2 - [Zihao Tang](https://md.research.elamur.ai/free/en/authors/zihao-tang/) ×2 - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/) - [Lei Ji](https://md.research.elamur.ai/free/en/authors/lei-ji/) - [Peijie Wang](https://md.research.elamur.ai/free/en/authors/peijie-wang/) - [Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/) - [Xiao Liang](https://md.research.elamur.ai/free/en/authors/xiao-liang/) - [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) - [Xin Yu](https://md.research.elamur.ai/free/en/authors/xin-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2024](https://md.research.elamur.ai/free/en/venues/lrec/2024/) - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haizhen-huang/cited-by/). Updated 31 October 2026