Taolin Zhang
Taolin Zhang has 2 papers in our library, in 2025, most of them on Language models & pretraining, Question answering, Reasoning; often with Chengyu Wang, Haodong Duan, Kai Chen.
OpenAlex · ORCID · h-index 44 · 215 works · 6,737 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 17 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #9099
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workQuestion answering · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement (2025 · 11 citations)
High-quality human-written SFT data is becoming scarce, and existing synthesis methods often depend on seed datasets, produce questions with limited variety, and offer weak quality control. - BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering (2025 · 9 citations)
Multi-hop question answering requires collecting several pieces of evidence and chaining them together, but existing LLM-based approaches usually apply one fixed strategy to every question.
All works
- Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Maosong Cao, Taolin Zhang, Mo Li, et al.2025 · 11 citations
- BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Qizhou Chen, et al.2025 · 9 citations
- AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTaolin Zhang et al.2026
- QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTaolin Zhang et al.2026
- Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTaolin Zhang et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2025 ×2
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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