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Generation

11,987 papers (2 classified directly here)

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Papers (including subtopics)

Towards End-to-End Open Conversational Machine Reading EACL 2023 Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023 Towards Faithful Dialogues via Focus Learning ACL 2023 Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue ACL 2023 Towards Generation and Recognition of Humorous Texts in Portuguese EACL 2023 Towards Imperceptible Document Manipulations against Neural Ranking Models ACL 2023 Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples EMNLP 2023 Towards large language model-based personal agents in the enterprise: Current trends and open problems EMNLP 2023 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Towards Low-resource Language Generation with Limited Supervision EMNLP 2023 Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023 Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Towards Unifying Multi-Lingual and Cross-Lingual Summarization ACL 2023 Towards Zero-Shot Multilingual Transfer for Code-Switched Responses ACL 2023 Towards Zero-Shot Persona Dialogue Generation with In-Context Learning ACL 2023 Tracking Must Go On : Dialogue State Tracking with Verified Self-Training Interspeech 2023 Tractable Control for Autoregressive Language Generation ICML 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Training language models to summarize narratives improves brain alignment ICLR 2023 Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts ACL 2023 TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition ACL 2023 Transferable Decoding with Visual Entities for Zero-Shot Image Captioning ICCV 2023 Transfer-Free Data-Efficient Multilingual Slot Labeling EMNLP 2023 Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization Interspeech 2023