--- title: "Fei Sun — author profile and papers — Elamur Research" description: "Fei Sun, Chinese Academy of Sciences: 6 papers on Elamur Research (2024–2026), h-index 32 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/fei-sun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fei-sun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fei Sun # Fei Sun Fei Sun 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/); often with [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/), [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/), [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5101467161) · [ORCID](https://orcid.org/0000-0002-6146-148X) · [Wikidata](https://www.wikidata.org/wiki/Q130800687) · [**h-index 32**](https://openalex.org/authors/A5101467161) · [123 works](https://openalex.org/works?filter=author.id:A5101467161) · [10,587 citations](https://openalex.org/works?filter=author.id:A5101467161&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/fei-sun/#papers) · [🔗 Cited 297 times in our library](https://md.research.elamur.ai/free/en/authors/fei-sun/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7321](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7321) 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=Fei+Sun) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fei+Sun) · [dblp](https://dblp.org/search?q=Fei+Sun) · [ACL Anthology](https://aclanthology.org/search/?q=Fei+Sun) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2015–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2015–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2018–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**State Development & Investment Corporation** Beijing · China 2026 · 1 paper*current*](https://ror.org/030mq9680) · [🏢**Alibaba Group** Hangzhou · China 2018–2022 · 42 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Hefei University** Hefei · China 2020–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/hefei-university/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2020–2022 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Meta** Menlo Park · United States 2019 · 5 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Anhui Jiyuan Software** Hefei 2023–2025 · 4 papers](https://ror.org/05hn3g777) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/fei-sun/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/fei-sun/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/fei-sun/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/)** *(2024 · 37 citations)* Hybrid question-answering systems give an LLM two kinds of context: passages it wrote itself and passages retrieved from an external corpus such as Wikipedia. 2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/)** *(2025 · 12 citations)* LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these… 3. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/)** *(2025 · 9 citations)* Published model-editing results often look nearly perfect. This paper asks whether those results hold once the evaluation reflects how an edited LLM would actually be used. The authors build QAEdit, a benchmark drawn from Natural Questions, TriviaQA and SimpleQA. GPT-4 adds the subjects and paraphrased prompts that… 4. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/)** *(2026 · 6 citations)* Reasoning LLMs often keep generating "thinking" tokens after they already have enough information to answer, which wastes compute and is known as overthinking. 5. **[InductionBench: LLMs Fail in the Simplest Complexity Class](https://md.research.elamur.ai/free/en/papers/hua-2025-inductionbench-llms-fail-simplest-complexity/)** *(2025 · 5 citations)* Most reasoning benchmarks for LLMs test deduction: the rules are given (axioms, programming syntax) and must be applied. 6. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/)** *(2026 · 1 citation)* Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations. ## All works 11 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. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search ↗](https://arxiv.org/abs/1812.03443) arXiv:1812.03443 · no summary yet**Bichen Wu et al.*2018 · 1,405 citations* 2. **[Deep Session Interest Network for Click-Through Rate Prediction ↗](https://doi.org/10.24963/ijcai.2019/319) International Joint Conference on Artificial Intelligence · no summary yet**Yufei Feng et al.*2019 · 298 citations* 3. **[ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation ↗](https://arxiv.org/abs/1812.08934) arXiv:1812.08934 · no summary yet**Xiaoliang Dai et al.*2018 · 297 citations* 4. **[Improving Multi-turn Dialogue Modelling with Utterance ReWriter ↗](https://aclanthology.org/P19-1003/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hui Su et al.*2019 · 157 citations* 5. **[Component-Enhanced Chinese Character Embeddings ↗](https://aclanthology.org/D15-1098/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yanran Li et al.*2015 · 110 citations* 6. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Fei Sun, Wanli Yang, et al.*2024 · 37 citations* 7. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hexiang Tan, Fei Sun, Sha Liu, et al.*2025 · 12 citations* 8. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanli Yang, Fei Sun, Jiajun Tan, et al.*2025 · 9 citations* 9. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Wei, Liang Pang, Jiahao Liu, et al.*2026 · 6 citations* 10. **[InductionBench: LLMs Fail in the Simplest Complexity Class](https://md.research.elamur.ai/free/en/papers/hua-2025-inductionbench-llms-fail-simplest-complexity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenyue Hua, Tyler Wong, Fei Sun, et al.*2025 · 5 citations* 11. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Wanli Yang, Junwei Zhang, et al.*2026 · 1 citation* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×5 - [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/) ×3 - [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/) ×3 - [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×3 - [Qi Cao](https://md.research.elamur.ai/free/en/authors/qi-cao/) ×3 - [Wanli Yang](https://md.research.elamur.ai/free/en/authors/wanli-yang/) ×3 - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) ×3 - [Du Su](https://md.research.elamur.ai/free/en/authors/du-su/) ×2 - [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/) ×2 - [Adam Jardine](https://md.research.elamur.ai/free/en/authors/adam-jardine/) - [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/) - [Jiahao Liu](https://md.research.elamur.ai/free/en/authors/jiahao-liu/) ## 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/) ×6: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2, [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - International Joint Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 297 times (of the 149,439 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fei-sun/cited-by/). Updated 1 November 2026