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Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors.

, , , , , and . ICCV, page 7611-7621. IEEE, (2023)

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Self-training from labeled features for sentiment analysis., and . Information Processing & Management, 47 (4): 606-616 (2011)Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity., , , and . CoRR, (2024)Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization., , , , and . CoRR, (2024)A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus., and . COLING, page 1113-1120. (2008)A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering., , , , , and . EMNLP (Findings), page 4798-4808. Association for Computational Linguistics, (2021)TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition., , and . LREC/COLING, page 15698-15710. ELRA and ICCL, (2024)EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification., , , , , and . EMNLP, page 13377-13392. Association for Computational Linguistics, (2023)Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective., , , , , , , , , and 2 other author(s). CoRR, (2024)Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification., , and . J. Softw., 7 (12): 2755-2762 (2012)LSTM-Based End-to-End Framework for Biomedical Event Extraction., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (6): 2029-2039 (2020)