--- title: "Zihao Li — author profile and papers — Elamur Research" description: "Zihao Li, University of Illinois Urbana-Champaign: 8 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/zihao-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zihao-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zihao Li # Zihao Li Zihao Li has 8 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Jörg Tiedemann](https://md.research.elamur.ai/free/en/authors/jorg-tiedemann/), [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/), [Xu Wang](https://md.research.elamur.ai/free/en/authors/xu-wang/). 8 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139850332) · [**h-index 0**](https://openalex.org/authors/A5139850332) · [6 works](https://openalex.org/works?filter=author.id:A5139850332) · [0 citations](https://openalex.org/works?filter=author.id:A5139850332&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/zihao-li/#papers) · [🔗 Cited 90 times in our library](https://md.research.elamur.ai/free/en/authors/zihao-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6341](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6341) 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=Zihao+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zihao+Li) · [dblp](https://dblp.org/search?q=Zihao+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Zihao+Li) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) 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 · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Low-resource languages · 2 works](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Machine translation · 2 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [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/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/zihao-li/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/zihao-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zihao-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/li-2024-language-ranker-metric-quantifying-llm/)** *(2024 · 95 citations)* LLMs are trained on corpora dominated by English. For example, about 92.65% of GPT-3 tokens and 89.7% of LlaMa2 pre-training data are English. As a result, low-resource languages get weaker support, yet there are few quantitative ways to measure this gap. The authors propose Language Ranker, an intrinsic metric that… 2. **[Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://md.research.elamur.ai/free/en/papers/gibert-2025-scaling-low-resource-mt-synthetic/)** *(2025 · 15 citations)* Most of the world's languages lack enough human-translated parallel text to train strong machine translation systems. 3. **[Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-feature-extraction-steering-enhanced-chain/)** *(2025 · 11 citations)* Long chain-of-thought reasoning, as in DeepSeek-R1, improves LLM performance on hard problems. Obtaining it usually requires distillation or post-training on expensive long-CoT data. The authors instead strengthen reasoning at inference time by steering residual activations, using only ordinary (vanilla) CoT. 4. **[Model Unlearning via Sparse Autoencoder Subspace Guided Projections](https://md.research.elamur.ai/free/en/papers/wang-2025-model-unlearning-sparse-autoencoder-subspace/)** *(2025 · 8 citations)* The paper addresses selective knowledge removal from LLMs, where hazardous or private information must be erased without hurting general ability. 5. **[Test-Time Scaling of Reasoning Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2026-test-time-scaling-reasoning-models/)** *(2026 · 5 citations)* The paper asks whether giving reasoning models more inference-time compute (test-time scaling, TTS) improves machine translation, as it does for math and coding. 6. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/)** *(2026 · 3 citations)* Many real questions can only be answered by combining facts spread over several tables, yet RAG systems mostly target plain text, and realistic benchmarks for multi-table retrieval are scarce. 7. **[Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching](https://md.research.elamur.ai/free/en/papers/lv-2026-beyond-query-memorization-large-language/)** *(2026)* The paper addresses LLM routing: picking, for each incoming query, a model from a pool that is good enough while keeping inference cost low. 8. **[Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-translate-translating-stabilizing-dual/)** *(2026)* Supervised LLM translation systems such as Tower and X-ALMA rely on large, expensive human-made parallel corpora. ## All works 9 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them. 1. **[Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/li-2024-language-ranker-metric-quantifying-llm/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Zihao Li, Yucheng Shi, Zirui Liu, et al.*2024 · 95 citations* 2. **[Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://md.research.elamur.ai/free/en/papers/gibert-2025-scaling-low-resource-mt-synthetic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ona de Gibert, Joseph Attieh, Teemu Vahtola, et al.*2025 · 15 citations* 3. **[Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-feature-extraction-steering-enhanced-chain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zihao Li, Xu Wang, Yuzhe Yang, et al.*2025 · 11 citations* 4. **[Model Unlearning via Sparse Autoencoder Subspace Guided Projections](https://md.research.elamur.ai/free/en/papers/wang-2025-model-unlearning-sparse-autoencoder-subspace/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xu Wang, Zihao Li, Benyou Wang, et al.*2025 · 8 citations* 5. **[Test-Time Scaling of Reasoning Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2026-test-time-scaling-reasoning-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zihao Li, Shaoxiong Ji, Jörg Tiedemann*2026 · 5 citations* 6. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations* 7. **[Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching](https://md.research.elamur.ai/free/en/papers/lv-2026-beyond-query-memorization-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Lv, Jingbo Sun, Jianwei Lv, et al.*2026* 8. **[Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-translate-translating-stabilizing-dual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kui Liu, Mingming Yin, Zuoli Tang, et al.*2026* 9. **[CAST: Achieving Stable LLM-based Text Analysis for Data Analytics ↗](https://aclanthology.org/2026.findings-acl.113/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jinxiang Xie et al.*2026* ## Co-authors here 12 of 30 co-authors with a page, the most papers together first. - [Jörg Tiedemann](https://md.research.elamur.ai/free/en/authors/jorg-tiedemann/) ×2 - [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) ×2 - [Xu Wang](https://md.research.elamur.ai/free/en/authors/xu-wang/) ×2 - [Ali Payani](https://md.research.elamur.ai/free/en/authors/ali-payani/) - [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/) - [Chen Tang](https://md.research.elamur.ai/free/en/authors/chen-tang/) - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) - [Dongbin Zhao](https://md.research.elamur.ai/free/en/authors/dongbin-zhao/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Jiaru Zou](https://md.research.elamur.ai/free/en/authors/jiaru-zou/) - [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/) - [Jingbo Sun](https://md.research.elamur.ai/free/en/authors/jingbo-sun/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×3 - [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 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2024](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 90 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zihao-li/cited-by/). Updated 1 November 2026