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TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations.

, , , and . WWW, page 925-934. ACM, (2022)

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ChemSpacE: Interpretable and Interactive Chemical Space Exploration., , , , , and . Trans. Mach. Learn. Res., (2023)AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework., , , , , , , , , and . CoRR, (2023)An Improved Robust Method for Pose Estimation of Cylindrical Parts with Interference Features., , , , and . Sensors, 19 (10): 2234 (2019)A Survey on Programmatic Weak Supervision., , , , and . CoRR, (2022)NLPBench: Evaluating Large Language Models on Solving NLP Problems., , , , , and . CoRR, (2023)Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision., , and . CoRR, (2022)Binary Classification with Positive Labeling Sources., , , , and . CIKM, page 4672-4676. ACM, (2022)AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models., , , , and . NAACL-HLT, page 1422-1436. Association for Computational Linguistics, (2022)m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks., , , , and . CoRR, (2024)Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach., , , , , and . CoRR, (2022)