From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 5Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 3Reasoning · 2 works Bias, fairness & safety · 1 work Efficient models & compression · 1 work

Works by year

2020s

20262 papers

Papers

The most cited first (OpenAlex and our library).

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning (2026 · 1 citation)
Jailbreak defenses for LLMs usually match known harmful patterns or apply fixed rules, so they often fail against new attack styles.
Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning (2026)
Large Reasoning Models tend to "overthink." They produce very long Chain-of-Thought (CoT) traces regardless of how hard a problem is, which raises latency and compute cost.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Learning with Noisy Labels for Sentence-level Sentiment Classification ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetHao Wang et al.2019 · 64 citations
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
Generative Sentiment Transfer via Adaptive Masking ↗arXiv:2302.12045 · no summary yetYingze Xie et al.2023 · 1 citation
Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient ReasoningFindings of the Association for Computational LinguisticsYi Sui, Chaozhuo Li, Dawei Song2026

Co-authors here

2 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.

Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

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🧑‍🔬 Chaozhuo Li

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Chaozhuo Li

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by