{"total":18,"rows":[{"id":"2308.03279","title":"UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition","created":"2023-08-07","cited_by_count":72,"area":null},{"id":"2101.10244","title":"Process-Level Representation of Scientific Protocols with Interactive Annotation","created":"2021-01-25","cited_by_count":16,"area":null},{"id":"2109.13089","title":"Automated Mining of Leaderboards for Empirical AI Research","created":"2021-08-31","cited_by_count":16,"area":null},{"id":"2208.05379","title":"Multi-task Active Learning for Pre-trained Transformer-based Models","created":"2022-08-10","cited_by_count":16,"area":null},{"id":"2305.11068","title":"ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph","created":"2023-05-10","cited_by_count":11,"area":null},{"id":"2210.03690","title":"Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts","created":"2022-10-07","cited_by_count":10,"area":null},{"id":"2203.14579","title":"Computer Science Named Entity Recognition in the Open Research Knowledge Graph","created":"2022-03-28","cited_by_count":9,"area":null},{"id":"2305.17280","title":"Improved Instruction Ordering in Recipe-Grounded Conversation","created":"2023-05-26","cited_by_count":7,"area":null},{"id":"2210.12401","title":"PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text","created":"2022-10-22","cited_by_count":6,"area":null},{"id":"2101.05961","title":"SoftNER: Mining Knowledge Graphs From Cloud Incidents","created":"2021-01-15","cited_by_count":5,"area":null},{"id":"2208.07400","title":"SynKB: Semantic Search for Synthetic Procedures","created":"2022-08-15","cited_by_count":4,"area":null},{"id":"2111.15182","title":"Easy Semantification of Bioassays","created":"2021-11-30","cited_by_count":3,"area":null},{"id":"2106.14157","title":"Analyzing Research Trends in Inorganic Materials Literature Using NLP","created":"2021-06-27","cited_by_count":1,"area":null},{"id":"2204.12710","title":"CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition","created":"2022-04-27","cited_by_count":1,"area":null},{"id":"2201.09329","title":"ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols","created":"2022-01-23","cited_by_count":0,"area":null},{"id":"2305.19497","title":"Towards Flow Graph Prediction of Open-Domain Procedural Texts","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2412.20043","title":"STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2606.11897","title":"Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills","created":"2026-06-10","cited_by_count":0,"area":null}],"next_cursor":null}