Irwin King
Irwin King has 7 papers in our library, in 2021–2025, most of them on Language models & pretraining, Efficient models & compression, Summarization; often with Philip S. Yu, Wenqian Cui, Xiaoqi Jiao.
OpenAlex · ORCID · Wikidata · h-index 79 · 692 works · 29,109 citations OpenAlex, 2026-10-14
📄 7 works in our library · 🔗 Cited 530 times in our library · 19 more in our library without a page yet · ⭐ Paper Stars ranking: #4895
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 7 worksArts and Humanities · 6 worksArtificial Intelligence · 7 worksLanguage and Linguistics · 6 worksComputer Vision and Pattern Recognition · 3 worksHardware and Architecture · 1 workInformation Systems · 1 work
🧭 Topics 6Research subjects and languages the work is about.Efficient models & compression · 2 worksLanguage models & pretraining · 4 worksSummarization · 1 workSpeech & spoken language · 1 workReasoning · 1 workEnglish · 1 work
Works by year
2020s
Papers
- BinaryBERT: Pushing the Limit of BERT Quantization (2021 · 166 citations)
Large pre-trained language models are hard to run on edge devices, and quantization shrinks them without redesigning the architecture. - Recent Advances in Speech Language Models: A Survey (2025 · 69 citations)
Voice assistants are often built as a cascade of three systems: speech recognition, a text LLM, and speech synthesis (the "ASR + LLM + TTS" pipeline). - Controllable Summarization with Constrained Markov Decision Process (2021 · 34 citations)
Token-based controllable summarizers such as ControlSum let a user request a property of the output, for example a word budget. - Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? (2025 · 11 citations)
Watermarking LLM outputs is promoted as a way to catch unauthorized knowledge distillation. It relies on "radioactivity": student models trained on watermarked teacher text inherit a detectable signal. This paper tests whether that signal survives a deliberate attacker. The authors propose three removal attacks: - Implicit Reasoning in Large Language Models: A Comprehensive Survey (2025 · 10 citations)
Chain-of-Thought prompting makes LLMs write out every intermediate step, which inflates output length, latency and cost. - Position: LLMs Can be Good Tutors in English Education (2025 · 9 citations)
This is a position paper. It runs no experiments and introduces no dataset. The authors argue that current LLM uses in English teaching mostly reuse standard NLP task framings and ignore educational methodology. They contend that LLMs can work as tutors that support human teachers rather than replace them. They… - VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models (2025 · 9 citations)
Spoken Language Models (SLMs) that both listen and reply in speech need broad world knowledge. Existing audio QA benchmarks still pair audio with text questions or score text answers, so they cannot test true speech-to-speech use or how stable a model is when the same question is spoken differently. The authors built…
All works
- Dynamic Key-Value Memory Networks for Knowledge Tracing ↗Proceedings of the 26th International Conference on World Wide Web · no summary yetJiani Zhang et al.2017 · 886 citations
- Learning to recommend with social trust ensemble ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetHao Ma, Irwin King, Michael Rung-Tsong Lyu2009 · 860 citations
- Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetCheng Chen et al.572 citations
- SelFlow: Self-Supervised Learning of Optical Flow ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPengpeng Liu et al.2019 · 331 citations
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems ↗International Joint Conference on Artificial Intelligence · no summary yetJiani Zhang et al.2019 · 261 citations
- STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShenglin Zhao et al.2016 · 241 citations
- BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 166 citations
- Topic Memory Networks for Short Text Classification ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetJichuan Zeng et al.2018 · 163 citations
- Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHou Pong Chan et al.2019 · 128 citations
- Topic-Aware Neural Keyphrase Generation for Social Media Language ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetYue Wang et al.2019 · 110 citations
- VD-BERT: A Unified Vision and Dialog Transformer with BERT ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYue Wang et al.2020 · 105 citations
- Exclusive Hierarchical Decoding for Deep Keyphrase Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetWang Chen et al.2020 · 98 citations
- HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetWenxiang Jiao et al.2019 · 91 citations
- A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? ↗arXiv:2503.24235 · no summary yetQiyuan Zhang et al.2025 · 79 citations
- An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetWang Chen et al.2019 · 77 citations
- Improving Question Generation With to the Point Context ↗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 yetJingjing Li et al.2019 · 71 citations
- Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
- Photon: A Robust Cross-Domain Text-to-SQL System ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yetJichuan Zeng et al.2020 · 66 citations
- Non-monotonic feature selection ↗International Conference on Machine Learning · no summary yetZenglin Xu et al.2009 · 65 citations
- Entropy-biased models for query representation on the click graph ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetHongbo Deng, Irwin King, Michael Rung-Tsong Lyu2009 · 59 citations
- Controllable Summarization with Constrained Markov Decision ProcessTransactions of the Association for Computational Linguistics (TACL)Hou Pong Chan, Lu Wang, Irwin King2021 · 34 citations
- Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYifan Gao et al.2020 · 26 citations
- Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Annual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Aiwei Liu, Shiyu Huang, et al.2025 · 11 citations
- Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
- Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
See all 26 works by Irwin King →
Co-authors here
- Philip S. Yu ×2
- Wenqian Cui ×2
- Xiaoqi Jiao ×2
- Ziqiao Meng ×2
- Aiwei Liu
- Chengwei Qin
- Deqing Zou
- Hai-Tao Zheng
- Hou Pong Chan
- Jiahong Liu
- Jindong Li
- Jingheng Ye
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×8: ACL 2025 ×3, ACL 2021
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2025
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2021
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- International Conference on Machine Learning
- International Joint Conference on Artificial Intelligence
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Proceedings of the 26th International Conference on World Wide Web
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
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