Elamur Research⌕
☰
home / authors / Pengfei Cao

Pengfei Cao

Pengfei Cao has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search, Efficient models & compression; often with Jun Zhao, Kang Liu, Yubo Chen.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 12 · 62 works · 778 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 192 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7307

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2018–2026 · 53 paperscurrent🔬Institute of AutomationBeijing · China2018–2026 · 53 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2018–2026 · 48 paperscurrent🔬State Key Laboratory of Pattern RecognitionBeijing · ChinaEmployment

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20262 papers20241 paper

 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 (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 (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 (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.

All works

9 works of theirs in our library, the most cited first; 3 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 ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetPengfei Cao et al.2018 · 226 citations
  2. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetPengfei Cao et al.2020 · 139 citations
  3. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks ↗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 yetPengfei Cao et al.2021 · 98 citations
  4. LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ↗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 yetXinyu Zuo et al.2021 · 89 citations
  5. Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetXinyu Zuo et al.2021 · 88 citations
  6. Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language ModelsLanguage Resources and Evaluation Conference (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 QuantizationFindings of the Association for Computational LinguisticsChenxi Zhou, Pengfei Cao, Jiang Li, et al.2026 · 1 citation
  8. Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Men, Zhuoran Jin, Pengfei Cao, et al.2026
  9. Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetChenxi Zhou et al.2026

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 192 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/pengfei-cao/