--- title: "Pengfei Cao — author profile and papers — Elamur Research" description: "Pengfei Cao, Chinese Academy of Sciences: 4 papers on Elamur Research (2024–2026), h-index 12 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/pengfei-cao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pengfei-cao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pengfei Cao # Pengfei Cao Pengfei Cao has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/), [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/), [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5101759357) · [ORCID](https://orcid.org/0000-0001-6886-1366) · [**h-index 12**](https://openalex.org/authors/A5101759357) · [62 works](https://openalex.org/works?filter=author.id:A5101759357) · [778 citations](https://openalex.org/works?filter=author.id:A5101759357&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/pengfei-cao/#papers) · [🔗 Cited 192 times in our library](https://md.research.elamur.ai/free/en/authors/pengfei-cao/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8507](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8507) 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=Pengfei+Cao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pengfei+Cao) · [dblp](https://dblp.org/search?q=Pengfei+Cao) · [ACL Anthology](https://aclanthology.org/search/?q=Pengfei+Cao) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2018–2026 · 53 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2018–2026 · 53 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2018–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**State Key Laboratory of Pattern Recognition** Beijing · China Employment](https://ror.org/02aztsv52) 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/pengfei-cao/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/pengfei-cao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/jin-2024-tug-war-between-knowledge-exploring/)** *(2024 · 70 citations)* Retrieval-augmented language models (RALMs) combine what they learned in pre-training with passages fetched from outside sources. 2. **[From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization](https://md.research.elamur.ai/free/en/papers/zhou-2026-signal-degradation-computation-collapse-uncovering/)** *(2026 · 1 citation)* The paper asks why weight-only post-training quantization (PTQ) of LLMs behaves acceptably at 4-bit but breaks down almost completely at 2-bit. 3. **[Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning](https://md.research.elamur.ai/free/en/papers/men-2026-empowering-gui-agents-autonomous-experience/)** *(2026)* Small open-source multimodal LLMs are cheaper than commercial models and keep data private, but as web agents they plan poorly and transfer badly to unfamiliar websites. 4. **[Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-task-stratified-knowledge-scaling-laws/)** *(2026)* Scaling laws for quantized LLMs usually predict only aggregate performance from model size and bit-width. They treat GPTQ-style hyperparameters as fixed and ignore that different kinds of knowledge may degrade differently. This paper builds a multiplicative power-law model of post-training quantization (PTQ) that… ## All works 9 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism ↗](https://aclanthology.org/D18-1017/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pengfei Cao et al.*2018 · 226 citations* 2. **[HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding ↗](https://aclanthology.org/2020.acl-main.282/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Pengfei Cao et al.*2020 · 139 citations* 3. **[Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks ↗](https://aclanthology.org/2021.acl-long.376/) 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**Pengfei Cao et al.*2021 · 98 citations* 4. **[LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ↗](https://aclanthology.org/2021.acl-long.276/) 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**Xinyu Zuo et al.*2021 · 89 citations* 5. **[Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement ↗](https://aclanthology.org/2021.findings-acl.190/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Xinyu Zuo et al.*2021 · 88 citations* 6. **[Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/jin-2024-tug-war-between-knowledge-exploring/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zhuoran Jin, Pengfei Cao, Yubo Chen, et al.*2024 · 70 citations* 7. **[From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization](https://md.research.elamur.ai/free/en/papers/zhou-2026-signal-degradation-computation-collapse-uncovering/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Zhou, Pengfei Cao, Jiang Li, et al.*2026 · 1 citation* 8. **[Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning](https://md.research.elamur.ai/free/en/papers/men-2026-empowering-gui-agents-autonomous-experience/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Men, Zhuoran Jin, Pengfei Cao, et al.*2026* 9. **[Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-task-stratified-knowledge-scaling-laws/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Zhou, Pengfei Cao, Jiang Li, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/) ×4 - [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/) ×4 - [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/) ×2 - [Chenxi Zhou](https://md.research.elamur.ai/free/en/authors/chenxi-zhou/) ×2 - [Jiang Li](https://md.research.elamur.ai/free/en/authors/jiang-li/) ×2 - [Jinyu Ye](https://md.research.elamur.ai/free/en/authors/jinyu-ye/) ×2 - [Yubo Chen](https://md.research.elamur.ai/free/en/authors/yubo-chen/) ×2 - [Zhuoran Jin](https://md.research.elamur.ai/free/en/authors/zhuoran-jin/) ×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/) - [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 - 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) ×2 - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2024](https://md.research.elamur.ai/free/en/venues/lrec/2024/) - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 - Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 192 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pengfei-cao/cited-by/). Updated 2 November 2026