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Matching in Selective and Balanced Representation Space for Treatment Effects Estimation., , and . CIKM, page 205-214. ACM, (2020)Data-Centric Financial Large Language Models., , , , , , , , , and 2 other author(s). CoRR, (2023)Causal Effect Estimation: Recent Advances, Challenges, and Opportunities., , , , and . CoRR, (2023)Invariant Graph Learning for Causal Effect Estimation., , , , , , , , and . WWW, page 2552-2562. ACM, (2024)A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions., , , , , , , , , and 1 other author(s). CoRR, (2024)Time-LLM: Time Series Forecasting by Reprogramming Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Enhancing Event Sequence Modeling with Contrastive Relational Inference., , , , , , , , , and 2 other author(s). ICASSP, page 6145-6149. IEEE, (2024)Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data., , and . KDD, page 176-184. ACM, (2021)Continual Treatment Effect Estimation: Challenges and Opportunities., and . AAAI Bridge Program, volume 208 of Proceedings of Machine Learning Research, page 11-17. PMLR, (2023)LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs., , , , , , , , , and 3 other author(s). AAAI, page 19189-19196. AAAI Press, (2024)