--- title: "Haifeng Chen — author profile and papers — Elamur Research" description: "Haifeng Chen, NEC: 4 papers on Elamur Research (2023–2026), h-index 20 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haifeng-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haifeng-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haifeng Chen # Haifeng Chen Haifeng Chen has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Wei Cheng](https://md.research.elamur.ai/free/en/authors/wei-cheng/), [Xujiang Zhao](https://md.research.elamur.ai/free/en/authors/xujiang-zhao/), [Zhengzhang Chen](https://md.research.elamur.ai/free/en/authors/zhengzhang-chen/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5100456786) · [ORCID](https://orcid.org/0000-0002-9363-738X) · [Wikidata](https://www.wikidata.org/wiki/Q131161471) · [**h-index 20**](https://openalex.org/authors/A5100456786) · [103 works](https://openalex.org/works?filter=author.id:A5100456786) · [1,858 citations](https://openalex.org/works?filter=author.id:A5100456786&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/haifeng-chen/#papers) · [🔗 Cited 67 times in our library](https://md.research.elamur.ai/free/en/authors/haifeng-chen/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6183](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6183) 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=Haifeng+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haifeng+Chen) · [dblp](https://dblp.org/search?q=Haifeng+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Haifeng+Chen) ## Affiliations [🏢**NEC** Irving · United States 2016–2026 · 56 papers*current*](https://md.research.elamur.ai/free/en/companies/nec/) · [🏢**NEC** Tokyo · Japan 2020–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/nec-jp/) · [🏢**Microsoft** Redmond · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/haifeng-chen/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/haifeng-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/)** *(2023 · 141 citations)* Earlier work on large language models for summarization mostly examined generic news summaries. This paper asks how ChatGPT performs in the harder, user-driven setting where a summary must answer a specific query or cover a given aspect. The authors tested it on four public benchmarks from different domains: QMSum… 2. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/)** *(2026 · 7 citations)* Reasoning LLMs often keep producing chain-of-thought steps long after the answer is effectively settled. This "overthinking" wastes compute and can even push the model toward a wrong answer. The authors present REFRAIN, a framework that needs no training and decides at inference time when to cut reasoning short. It… 3. **[Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-mind-gap-cultural-alignment-task/)** *(2026 · 2 citations)* Large language models often carry a Western-leaning cultural bias. Existing cultural alignment methods, such as persona prompting or fine-tuning on value surveys like WVS, have two weaknesses. Broad value data transfers poorly to concrete culture-sensitive tasks such as offensive language detection. Training one… 4. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/)** *(2026 · 1 citation)* Once deployed, LLMs cannot easily absorb new or corrected facts. Retraining is expensive. Weight-editing methods tend to collapse as edits pile up, especially with long, free-form knowledge rather than subject–relation–object triples. The authors propose RILKE, which keeps the base model frozen and instead edits… ## All works 7 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. [**Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization arXiv:2302.08081**Xianjun Yang, Yan Li, Xinlu Zhang, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/) 2. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Renliang Sun, Wei Cheng, Dawei Li, et al.*2026 · 7 citations* 3. **[Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-mind-gap-cultural-alignment-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binchi Zhang, Xujiang Zhao, Jundong Li, et al.*2026 · 2 citations* 4. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.*2026 · 1 citation* 5. **[Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement ↗](https://aclanthology.org/2026.findings-eacl.158/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Wangyang Ying et al.*2026* 6. **[Uncertainty-Aware Test-Time Search for Optimization Problem Solving ↗](https://aclanthology.org/2026.acl-long.1975/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Linlin Yu et al.*2026* 7. **[LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ↗](https://aclanthology.org/2026.acl-long.760/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Binchi Zhang et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Wei Cheng](https://md.research.elamur.ai/free/en/authors/wei-cheng/) ×2 - [Xujiang Zhao](https://md.research.elamur.ai/free/en/authors/xujiang-zhao/) ×2 - [Zhengzhang Chen](https://md.research.elamur.ai/free/en/authors/zhengzhang-chen/) ×2 - [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) - [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/) - [Jundong Li](https://md.research.elamur.ai/free/en/authors/jundong-li/) - [Renliang Sun](https://md.research.elamur.ai/free/en/authors/renliang-sun/) - [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/) - [Xianjun Yang](https://md.research.elamur.ai/free/en/authors/xianjun-yang/) - [Xinlu Zhang](https://md.research.elamur.ai/free/en/authors/xinlu-zhang/) - [Yan Li](https://md.research.elamur.ai/free/en/authors/yan-li/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 - Findings of the Association for Computational Linguistics: EACL 2026 ## Cited by Papers of our library cite their works 67 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haifeng-chen/cited-by/). Updated 31 October 2026