🧑‍🔬 Who cites Jeff Bilmes

168 citations of their works from 166 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← Jeff Bilmes

1. Is Attention Interpretable?Annual Meeting of the Association for Computational Linguistics (ACL)Sofia Serrano, Noah A. Smith2019 · 899 citations
2. Neural Document Summarization by Jointly Learning to Score and Select SentencesAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Zhou, Nan Yang, Furu Wei, et al.2018 · 450 citations
3. Beyond neural scaling laws: beating power law scaling via data pruningConference on Neural Information Processing Systems (NeurIPS)Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 231 citations
4. Learning-Based Single-Document Summarization with Compression and Anaphoricity ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein2016 · 211 citations
5. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 178 citations
6. Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data AugmentationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, et al.2019 · 167 citations
7. Reducing Quantity Hallucinations in Abstractive SummarizationFindings of the Association for Computational LinguisticsZheng Zhao, Shay B. Cohen, Bonnie Webber2020 · 157 citations
8. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural NetworkInternational Conference on Computational Linguistics (COLING)Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen2016 · 134 citations
9. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
10. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
11. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationConference on Neural Information Processing Systems (NeurIPS)Kushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 81 citations
12. Finding Support Examples for In-Context LearningFindings of the Association for Computational LinguisticsXiaonan Li, Xipeng Qiu2023 · 78 citations
13. Neural-based Context Representation Learning for Dialog Act ClassificationAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Daniel Ortega, Ngoc Thang Vu2017 · 51 citations
14. Qwen3Guard Technical ReportarXiv:2510.14276Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.2025 · 33 citations
15. Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act ClassificationInternational Conference on Computational Linguistics (COLING)Nick Webb, Michael Ferguson2010 · 26 citations
16. Lexico-acoustic Neural-based Models for Dialog Act ClassificationIEEE International Conference on Acoustics Speech and Signal ProcessingDaniel Ortega, Ngoc Thang Vu2018 · 21 citations
17. Automatic Combination of Sample Selection Strategies for Few-Shot LearningFindings of the Association for Computational LinguisticsBranislav Pecher, Ivan Srba, Maria Bielikova, et al.2026 · 15 citations
18. A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Gonzalo Ariel Meyoyan, Luciano Del Corro2026
19. Agent Newsroom: Efficient Chronological Report Generation via Dynamic Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenhua Wang, Chunlei Wang, Yue Geng, et al.2026
20. Budget-Aware Routing for Long Clinical TextFindings of the Association for Computational LinguisticsKhizar Qureshi, Geoffrey Martin, Yifan Peng2026
21. From Benchmarks to Skills: Low-Rank Factors for LLM EvaluationTransactions of the Association for Computational Linguistics (TACL)Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.2026
22. MelTrim: Coarse-to-Fine Data Pruning for Speech ClassificationFindings of the Association for Computational LinguisticsShaobo Wang, Tianle Niu, Xuan Ouyang, et al.2026
23. SD-E2: Semantic Exploration for Reasoning Under Token BudgetsFindings of the Association for Computational LinguisticsKshitij Mishra, Nils Lukas, Salem Lahlou2026
24. SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast AsiaFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026

142 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jeff-bilmes/cited-by/