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Haizhen Huang

Haizhen Huang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Weiwei Deng, Feng Sun, Qi Zhang.

3 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 7 · 39 works · 255 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 120 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7138

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

🏢MicrosoftRedmond · United States2021–2025 · 17 paperscurrent🎓Central China Normal UniversityWuhan · China2024–2025 · 3 paperscurrent🎓Shandong UniversityJinan · China2025 · 1 papercurrent🎓Peking UniversityBeijing · China2023–2024 · 3 papers🏢Microsoft Research AsiaBeijing · China2023 · 2 papers🎓Sun Yat-sen UniversityGuangzhou · China2023 · 2 papers

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

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 workReasoning · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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 (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 (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 ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetTing Jiang et al.2022 · 198 citations
  2. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
  3. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
  4. Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM MemoryAnnual Meeting of the Association for Computational Linguistics (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.

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 120 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

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