Text Generation

Faithful Low-Resource Data-to-Text Generation through Cycle Training ACL 2023 Fast Inference from Transformers via Speculative Decoding ICML 2023 FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings EACL 2023 Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ACL 2023 Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing EACL 2023 Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation EMNLP 2023 Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation EMNLP 2023 Findings of the Word-Level AutoCompletion Shared Task in WMT 2023 EMNLP 2023 Fine-Grained Audible Video Description CVPR 2023 Fine-grained Text Style Transfer with Diffusion-Based Language Models ACL 2023 FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information ACL 2023 Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models EMNLP 2023 Fluency Matters! Controllable Style Transfer with Syntax Guidance ACL 2023 Focal Training and Tagger Decouple for Grammatical Error Correction ACL 2023 Focused Prefix Tuning for Controllable Text Generation ACL 2023 Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding ACL 2023 For Generated Text, Is NLI-Neutral Text the Best Text? EMNLP 2023 Formalizing content creation and evaluation methods for AI-generated social media content EMNLP 2023 From Chaos to Clarity: Claim Normalization to Empower Fact-Checking EMNLP 2023 From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions EMNLP 2023 G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation ACL 2023 GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023 Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models SemEval 2023 GAP-Gen: Guided Automatic Python Code Generation EACL 2023 Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors EACL 2023