--- title: "Who cites Chen Lin" description: "225 papers of the Elamur Research library cite the works of Chen Lin, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/chen-lin/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chen-lin/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Chen Lin](https://md.research.elamur.ai/free/en/authors/chen-lin/) / cited by # Who cites Chen Lin 225 citations of their works from 225 papers of our library (of the 140 884 whose bibliographies we read) · 16 with a page here, the most cited first · [← Chen Lin](https://md.research.elamur.ai/free/en/authors/chen-lin/) - [WizardLM: Empowering large pre-trained language models to follow complex instructions](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/) — Can Xu, Qingfeng Sun, Kai Zheng, et al. · 2023 · 729 citations - [Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation](https://md.research.elamur.ai/free/en/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/) — Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al. · 2014 · 284 citations - [SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/) — Steven Bethard, Guergana Savova, Wei-Te Chen, et al. · 2016 · 263 citations - [Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/) — Zhen Tan, Dawei Li, Song Wang, et al. · 2024 · 259 citations - [On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/) — Lin Long, Rui Wang, Ruixuan Xiao, et al. · 2024 · 236 citations - [LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods](https://md.research.elamur.ai/free/en/papers/li-2024-llms-judges-comprehensive-survey-llm/) — Haitao Li, Qian Dong, Junjie Chen, et al. · 2024 · 188 citations - [TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/) — Qiang Ning, Hao Wu, Rujun Han, et al. · 2020 · 149 citations - [MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) — Xiaozhi Wang, Yulin Chen, Ning Ding, et al. · 2022 · 96 citations - [PropBank Comes of Age—Larger, Smarter, and more Diverse](https://md.research.elamur.ai/free/en/papers/pradhan-2022-propbank-comes-age-larger-smarter/) — Sameer Pradhan, Julia Bonn, Skatje Myers, et al. · 2022 · 41 citations - [Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes](https://md.research.elamur.ai/free/en/papers/zeldes-2022-opinion-piece-can-we-fix/) — Amir Zeldes · 2022 · 16 citations - [Cross-document coreference: An approach to capturing coreference without context](https://md.research.elamur.ai/free/en/papers/bettner-2019-cross-document-coreference-approach-capturing/) — Kristin Wright-Bettner, Martha Palmer, Guergana Savova, et al. · 2019 · 15 citations - [A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI](https://md.research.elamur.ai/free/en/papers/chen-2025-rose-any-other-name-llm/) — Beiduo Chen, Siyao Peng, Anna Korhonen, et al. · 2025 · 9 citations - [Towards Consistent Detection of Cognitive Distortions: LLM-Based Annotation and Dataset-Agnostic Evaluation](https://md.research.elamur.ai/free/en/papers/sharma-2026-consistent-detection-cognitive-distortions-llm/) — Neha Sharma, Navneet Agarwal, Kairit Sirts · 2026 · 2 citations - [SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) — Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher · 2026 · 1 citation - [A Dataset of Psychiatric Hospital Notes with Temporal Information Annotations](https://md.research.elamur.ai/free/en/papers/miller-2026-dataset-psychiatric-hospital-notes-temporal/) — Timothy A. Miller, Gaby Dinh, David Harris, et al. · 2026 - [Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study](https://md.research.elamur.ai/free/en/papers/ngo-2026-human-vs-llm-conversational-repair/) — Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al. · 2026 209 more citing papers of our library have no page here yet.