--- title: "Yifan Wang — author profile and papers — Elamur Research" description: "Yifan Wang, Northeastern University: 7 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yifan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifan Wang # Yifan Wang Yifan Wang has 7 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/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Wei Ju](https://md.research.elamur.ai/free/en/authors/wei-ju/), [Bohan Wu](https://md.research.elamur.ai/free/en/authors/bohan-wu/), [Deng Cai](https://md.research.elamur.ai/free/en/authors/deng-cai/). 7 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139746013) · [**h-index 0**](https://openalex.org/authors/A5139746013) · [6 works](https://openalex.org/works?filter=author.id:A5139746013) · [0 citations](https://openalex.org/works?filter=author.id:A5139746013&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/yifan-wang/#papers) · [🔗 Cited 47 times in our library](https://md.research.elamur.ai/free/en/authors/yifan-wang/cited-by/) · [⭐ Paper Stars ranking: #8109](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8109) 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=Yifan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifan+Wang) · [dblp](https://dblp.org/search?q=Yifan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yifan+Wang) ## Affiliations [🎓**Northeastern University** Boston · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**University of International Business and Economics** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-international-business-and-economics/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 6 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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.[Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yifan-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yifan-wang/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yifan-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Thorough Examination of Decoding Methods in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/shi-2024-thorough-examination-decoding-methods-era/)** *(2024 · 68 citations)* Decoding strategies turn a next-token predictor into a usable task solver. However, earlier comparisons of these strategies used task-specific models from before the LLM era, and many new methods have appeared since. The authors benchmark deterministic decoders (greedy, beam search, diverse beam search, contrastive… 2. **[A Survey on Efficient Large Language Model Training: From Data-centric Perspectives](https://md.research.elamur.ai/free/en/papers/luo-2025-survey-efficient-large-language-model/)** *(2025 · 14 citations)* Post-training is the stage where LLMs acquire instruction following, alignment, reasoning and domain skills. 3. **[RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)** *(2024 · 7 citations)* RSA-Control steers a pretrained language model towards a target attribute (for example non-toxic, or easy to read) without training a classifier. 4. **[Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-render-thought-rendering-textual-chain/)** *(2026 · 1 citation)* Chain-of-Thought (CoT) reasoning improves LLM accuracy, but its long outputs slow inference and use a lot of memory. 5. **[Calibrating Inference Time Alignment with Sequence-level Risk Accumulation](https://md.research.elamur.ai/free/en/papers/tan-2026-calibrating-inference-time-alignment-sequence/)** *(2026)* LLM defenses against jailbreaks often over-refuse. They block innocuous requests, such as how to "kill" a Linux process, because single tokens look dangerous. This paper presents SEAT, an inference-time decoding framework named for its approach of accumulating risk over whole sequences to calibrate alignment at test… 6. **[TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2026-tikmix-efficient-semi-dynamic-data/)** *(2026)* Choosing domain proportions for LLM pre-training data is usually done once, either by hand or with proxy models. 7. **[UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/)** *(2026)* Large multimodal models (LMMs) perceive images well but often fail at multi-step reasoning grounded in visual evidence. ## Co-authors here 12 of 24 co-authors with a page, the most papers together first. - [Wei Ju](https://md.research.elamur.ai/free/en/authors/wei-ju/) ×2 - [Bohan Wu](https://md.research.elamur.ai/free/en/authors/bohan-wu/) - [Deng Cai](https://md.research.elamur.ai/free/en/authors/deng-cai/) - [Hao Wu](https://md.research.elamur.ai/free/en/authors/hao-wu/) - [Haoran Yang](https://md.research.elamur.ai/free/en/authors/haoran-yang/) - [Jingyang Yuan](https://md.research.elamur.ai/free/en/authors/jingyang-yuan/) - [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/) - [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/) - [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) - [Nan Yin](https://md.research.elamur.ai/free/en/authors/nan-yin/) - [Shiyu Li](https://md.research.elamur.ai/free/en/authors/shiyu-li/) - [Taifeng Wang](https://md.research.elamur.ai/free/en/authors/taifeng-wang/) ## 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/) ×4: [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/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ×2 - [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/) ## Cited by Papers of our library cite their works 47 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifan-wang/cited-by/). Updated 1 November 2026