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Controllable Generation from Pre-trained Language Models via Inverse Prompting.

, , , , , and . KDD, page 2450-2460. ACM, (2021)

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SAE: social analytic engine for large networks., , , , , , , , , and 3 other author(s). KDD, page 1502-1505. ACM, (2013)CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X., , , , , , , , , and 3 other author(s). KDD, page 5673-5684. ACM, (2023)Learning to Detect Noisy Labels Using Model-Based Features., , , , , , , and . EMNLP (Findings), page 5796-5808. Association for Computational Linguistics, (2022)Revisiting Semi-Supervised Learning with Graph Embeddings., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 40-48. JMLR.org, (2016)Breaking the Softmax Bottleneck: A High-Rank RNN Language Model., , , and . ICLR, OpenReview.net, (2018)Asymmetrical impact of trustworthiness attributes on trust, perceived value and purchase intention: a conceptual framework for cross-cultural study on consumer perception of online auction., , and . ICEC, volume 50 of ACM International Conference Proceeding Series, page 213-219. ACM, (2003)Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs., , and . IJCAI, page 2287-2293. IJCAI/AAAI Press, (2016)Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent, , , , , , , and . (2018)Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization., , , , and . ICLR, OpenReview.net, (2023)Semi-Supervised QA with Generative Domain-Adaptive Nets., , , and . ACL (1), page 1040-1050. Association for Computational Linguistics, (2017)