{"total":26,"rows":[{"id":"2404.03868","title":"Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction","created":"2024-04-05","cited_by_count":70,"area":null},{"id":"2209.04280","title":"F-coref: Fast, Accurate and Easy to Use Coreference Resolution","created":"2022-09-09","cited_by_count":24,"area":null},{"id":"2407.21489","title":"Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends","created":"2024-07-31","cited_by_count":19,"area":null},{"id":"2410.01671","title":"Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding","created":"2024-10-02","cited_by_count":16,"area":null},{"id":"2310.06165","title":"CAW-coref: Conjunction-Aware Word-level Coreference Resolution","created":"2023-10-09","cited_by_count":10,"area":null},{"id":"2406.14654","title":"Major Entity Identification: A Generalizable Alternative to Coreference Resolution","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2409.05653","title":"WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case","created":"2024-09-09","cited_by_count":9,"area":null},{"id":"2401.17922","title":"[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs","created":"2024-01-31","cited_by_count":8,"area":null},{"id":"2303.09092","title":"Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective","created":"2023-03-16","cited_by_count":6,"area":null},{"id":"2407.11988","title":"Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing","created":"2024-06-05","cited_by_count":6,"area":null},{"id":"2410.02756","title":"CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2305.14904","title":"Identifying Informational Sources in News Articles","created":"2023-05-24","cited_by_count":5,"area":null},{"id":"2404.00727","title":"A Controlled Reevaluation of Coreference Resolution Models","created":"2024-03-31","cited_by_count":4,"area":null},{"id":"2411.07466","title":"IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2507.12075","title":"BOOKCOREF: Coreference Resolution at Book Scale","created":"2025-07-16","cited_by_count":3,"area":null},{"id":"2302.08464","title":"Evaluating and Improving the Coreference Capabilities of Machine Translation Models","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2310.14512","title":"CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2402.13571","title":"Multilingual Coreference Resolution in Low-resource South Asian Languages","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2404.01140","title":"KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels","created":"2024-04-01","cited_by_count":1,"area":null},{"id":"2405.08751","title":"From Text to Context: An Entailment Approach for News Stakeholder Classification","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2410.17051","title":"Data-driven Coreference-based Ontology Building","created":"2024-10-22","cited_by_count":1,"area":null},{"id":"2406.06000","title":"ThaiCoref: Thai Coreference Resolution Dataset","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2509.19844","title":"Mah\\={a}n\\={a}ma: A Unique Testbed for Literary Entity Discovery and Linking","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2510.14504","title":"Efficient Seq2seq Coreference Resolution Using Entity Representations","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2604.17108","title":"Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2609.19767","title":"Benchmarking MLLMs via Cognitive Expected Scene Graph for Safety-Critical Visual Negation Understanding","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}