--- title: "Xiachong Feng — author profile and papers — Elamur Research" description: "Xiachong Feng, Harbin Institute of Technology: 6 papers on Elamur Research (2024–2026), h-index 13 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xiachong-feng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiachong-feng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiachong Feng # Xiachong Feng Xiachong Feng has 6 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/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/), [Weitao Ma](https://md.research.elamur.ai/free/en/authors/weitao-ma/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5066977101) · [ORCID](https://orcid.org/0000-0002-4761-7484) · [**h-index 13**](https://openalex.org/authors/A5066977101) · [53 works](https://openalex.org/works?filter=author.id:A5066977101) · [577 citations](https://openalex.org/works?filter=author.id:A5066977101&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/xiachong-feng/#papers) · [🔗 Cited 153 times in our library](https://md.research.elamur.ai/free/en/authors/xiachong-feng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6242](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6242) 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=Xiachong+Feng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiachong+Feng) · [dblp](https://dblp.org/search?q=Xiachong+Feng) · [ACL Anthology](https://aclanthology.org/search/?q=Xiachong+Feng) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2018–2026 · 35 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2024–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2021–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xiachong-feng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiachong-feng/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xiachong-feng/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/)** *(2024 · 129 citations)* Open-source large vision-language models (LVLMs) handle natural photos well but often fail on abstract visuals such as scientific plots and geometric diagrams. 2. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/)** *(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. 3. **[Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering](https://md.research.elamur.ai/free/en/papers/li-2026-unlocking-multilingual-reasoning-capability-llms/)** *(2026 · 4 citations)* Large language models and vision-language models reason noticeably worse in non-English languages, especially low-resource ones such as Thai and Swahili. 4. **[x1: Learning to Think Adaptively Across Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ye-2026-x1-learning-think-adaptively-across/)** *(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](https://md.research.elamur.ai/free/en/papers/ma-2026-fine-mem-fine-grained-feedback/)** *(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. 6. **[ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2026-implicitmembench-measuring-unconscious-behavioral-adaptation/)** *(2026)* Existing memory benchmarks for LLM agents, such as LoCoMo, LongMemEval and MemoryAgentBench, test whether a model can deliberately retrieve stored facts when asked. ## All works 7 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Li, Yuqi Wang, Runxin Xu, et al.*2024 · 129 citations* 2. **[Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization ↗](https://aclanthology.org/2021.acl-long.117/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Xiachong Feng et al.*2021 · 119 citations* 3. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Huang, Xiaocheng Feng, Weitao Ma, et al.*2025 · 11 citations* 4. **[Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering](https://md.research.elamur.ai/free/en/papers/li-2026-unlocking-multilingual-reasoning-capability-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiming Li, Xiaocheng Feng, Yixuan Ma, et al.*2026 · 4 citations* 5. **[x1: Learning to Think Adaptively Across Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ye-2026-x1-learning-think-adaptively-across/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.*2026 · 1 citation* 6. **[Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management](https://md.research.elamur.ai/free/en/papers/ma-2026-fine-mem-fine-grained-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weitao Ma, Xiaocheng Feng, Lei Huang, et al.*2026* 7. **[ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2026-implicitmembench-measuring-unconscious-behavioral-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chonghan Qin, Xiachong Feng, Weitao Ma, et al.*2026* ## Co-authors here 12 of 24 co-authors with a page, the most papers together first. - [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/) ×5 - [Weitao Ma](https://md.research.elamur.ai/free/en/authors/weitao-ma/) ×4 - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) ×3 - [Lei Huang](https://md.research.elamur.ai/free/en/authors/lei-huang/) ×3 - [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/) ×2 - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) ×2 - [Yangfan Ye](https://md.research.elamur.ai/free/en/authors/yangfan-ye/) ×2 - [Yunfei Lu](https://md.research.elamur.ai/free/en/authors/yunfei-lu/) ×2 - [Baoxin Wang](https://md.research.elamur.ai/free/en/authors/baoxin-wang/) - [Dayong Wu](https://md.research.elamur.ai/free/en/authors/dayong-wu/) - [Guoping Hu](https://md.research.elamur.ai/free/en/authors/guoping-hu/) - [Jun Xu](https://md.research.elamur.ai/free/en/authors/jun-xu/) ## 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, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 153 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiachong-feng/cited-by/). Updated 1 November 2026