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Generation

11,987 papers (2 classified directly here)

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Papers (including subtopics)

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition CVPR 2021 ReadOnce Transformers: Reusable Representations of Text for Transformers ACL 2021 Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021 RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ACL 2021 Reference-Centric Models for Grounded Collaborative Dialogue EMNLP 2021 Referenceless Parsing-Based Evaluation of AMR-to-English Generation EMNLP 2021 Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 2021 Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ACL 2021 Refocusing on Relevance: Personalization in NLG EMNLP 2021 RefSum: Refactoring Neural Summarization NAACL 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Region under Discussion for visual dialog EMNLP 2021 Relating Neural Text Degeneration to Exposure Bias EMNLP 2021 Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead EACL 2021 REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement AAAI 2021 RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy ACL 2021 Reservoir Transformers ACL 2021 Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences AAAI 2021 Restatement and Question Generation for Counsellor Chatbot ACL 2021 Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation NAACL 2021 Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks EACL 2021 [RETRACTED] Prosodic segmentation for parsing spoken dialogue ACL 2021 Retrieval Augmentation Reduces Hallucination in Conversation EMNLP 2021 Retrieval Augmented Code Generation and Summarization EMNLP 2021 Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots EMNLP 2021