Wenzheng Zhang
Wenzheng Zhang has 2 papers in our library, in 2023–2026, most of them on Coreference resolution, Language models & pretraining; often with Karl Stratos, Sam Wiseman.
OpenAlex · ORCID · h-index 13 · 78 works · 629 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 59 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9606
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workElectrical and Electronic Engineering · 1 workEngineering · 1 work
🧭 Topics 2Research subjects and languages the work is about.Coreference resolution · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Seq2seq is All You Need for Coreference Resolution (2023 · 32 citations)
Coreference resolution has usually depended on task-specific architectures, such as span-ranking models, pointer networks like ASP, or transition systems. - pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training (2026)
Very low-bit LLMs (below 2 bits per weight) suit edge devices, but models trained from scratch at 1 bit still trail FP16 accuracy and scale poorly.
All works
- Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetShaowei Chen et al.2020 · 165 citations
- Seq2seq is All You Need for Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Wenzheng Zhang, Sam Wiseman, Karl Stratos2023 · 32 citations
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2023
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Cited by
Updated
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