--- title: "Changze Lv — author profile and papers — Elamur Research" description: "Changze Lv, Tencent: 6 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/changze-lv/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/changze-lv/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Changze Lv # Changze Lv Changze Lv 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Xiaoqing Zheng](https://md.research.elamur.ai/free/en/authors/xiaoqing-zheng/), [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/), [Zhenghua Wang](https://md.research.elamur.ai/free/en/authors/zhenghua-wang/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5113112983) · [ORCID](https://orcid.org/0009-0007-7710-4982) · [**h-index 5**](https://openalex.org/authors/A5113112983) · [87 works](https://openalex.org/works?filter=author.id:A5113112983) · [181 citations](https://openalex.org/works?filter=author.id:A5113112983&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/changze-lv/#papers) · [🔗 Cited 88 times in our library](https://md.research.elamur.ai/free/en/authors/changze-lv/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5628](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5628) 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=Changze+Lv) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Changze+Lv) · [dblp](https://dblp.org/search?q=Changze+Lv) · [ACL Anthology](https://aclanthology.org/search/?q=Changze+Lv) ## Affiliations [🎓**Fudan University** Shanghai · China 2022–2026 · 55 papersEmployment since 2022 · Ph.D. Student, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/changze-lv/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/changze-lv/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/changze-lv/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Searching for Best Practices in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-searching-best-practices-retrieval-augmented/)** *(2024 · 150 citations)* Retrieval-augmented generation (RAG) pipelines consist of many stages, and each stage can be built in several ways. 2. **[Aligning Large Language Models with Human Preferences through Representation Engineering](https://md.research.elamur.ai/free/en/papers/liu-2024-aligning-large-language-models-human/)** *(2024 · 37 citations)* Aligning LLMs with human preferences usually relies on RLHF. RLHF needs extra reward and value models, is expensive and is often unstable to train. Cheaper reward-free alternatives such as DPO and HIR react badly to noisy or mislabeled preference pairs. The authors propose RAHF (Representation Alignment from Human… 3. **[Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective](https://md.research.elamur.ai/free/en/papers/li-2025-revisiting-jailbreaking-large-language-models/)** *(2025 · 17 citations)* The paper asks why LLMs that have been through safety alignment can still be jailbroken. It approaches the question through representation engineering. The authors argue that refusals of harmful requests come from particular activation signatures inside the model, which they call "safety patterns". To find them, they… 4. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/)** *(2026 · 3 citations)* Vision-Language Models often describe things that are not actually in the image. Most existing detectors look only at output confidence, such as logit entropy, or rely on external verifiers. VIB-Probe looks inside the model instead. During decoding, it collects the raw per-head attention outputs from every… 5. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/)** *(2026)* Vision-language models often hallucinate because they lean on the language priors of their LLM backbone instead of the image. 6. **[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/)** *(2026)* Long-context LLMs that use RoPE tend to concentrate attention on the start and end of the input. As a result, they underuse content in the middle, a problem known as "lost-in-the-middle." Earlier fixes such as Attention Buckets, MoICE and Ms-PoE mix several RoPE bases or scales. However, they need repeated forward… ## 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. **[Searching for Best Practices in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-searching-best-practices-retrieval-augmented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.*2024 · 150 citations* 2. **[Aligning Large Language Models with Human Preferences through Representation Engineering](https://md.research.elamur.ai/free/en/papers/liu-2024-aligning-large-language-models-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenhao Liu, Xiaohua Wang, Muling Wu, et al.*2024 · 37 citations* 3. **[Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective](https://md.research.elamur.ai/free/en/papers/li-2025-revisiting-jailbreaking-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.*2025 · 17 citations* 4. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.*2026 · 3 citations* 5. **[FARS: A Fully Automated Research System Deployed at Scale ↗](https://arxiv.org/abs/2606.31651) arXiv:2606.31651 · no summary yet**Qiong Tang et al.*2026 · 1 citation* 6. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026* 7. **[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yiran Ding, Changze Lv, et al.*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Xiaoqing Zheng](https://md.research.elamur.ai/free/en/authors/xiaoqing-zheng/) ×5 - [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/) ×5 - [Zhenghua Wang](https://md.research.elamur.ai/free/en/authors/zhenghua-wang/) ×5 - [Xiaohua Wang](https://md.research.elamur.ai/free/en/authors/xiaohua-wang/) ×4 - [Yixin Wu](https://md.research.elamur.ai/free/en/authors/yixin-wu/) ×4 - [Feiran Zhang](https://md.research.elamur.ai/free/en/authors/feiran-zhang/) ×3 - [Muling Wu](https://md.research.elamur.ai/free/en/authors/muling-wu/) ×3 - [Qi Qian](https://md.research.elamur.ai/free/en/authors/qi-qian/) ×3 - [Tianlong Li](https://md.research.elamur.ai/free/en/authors/tianlong-li/) ×3 - [Shizheng Li](https://md.research.elamur.ai/free/en/authors/shizheng-li/) ×2 - [Tianyuan Shi](https://md.research.elamur.ai/free/en/authors/tianyuan-shi/) ×2 - [Wenhao Liu](https://md.research.elamur.ai/free/en/authors/wenhao-liu/) ×2 ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 88 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/changze-lv/cited-by/). Updated 1 November 2026