text generation

2903 papers

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Also known as

TEGTOK NLG D2T TG

Co-occurring keywords

large language model (12755) language model (4573) natural language generation (782) machine translation (2472) question answering (2904) data augmentation (3037) neural network (6616) abstractive summarization (631) text summarization (889) question generation (461)

Papers

Free-text Rationale Generation under Readability Level Control ACL 2025

Following Length Constraints in Instructions EMNLP 2025

ToneCraft: Cantonese Lyrics Generation with Harmony of Tones and Pitches EMNLP 2025

KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation ACL 2025

Semantic Agreement Enables Efficient Open-Ended LLM Cascades EMNLP 2025

fLSA: Learning Semantic Structures in Document Collections Using Foundation Models EMNLP 2025

Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models EMNLP 2025

Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension EMNLP 2025

Multimodal Neural Machine Translation: A Survey of the State of the Art EMNLP 2025

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation COLING 2025

T2R-BENCH: A Benchmark for Real World Table-to-Report Task EMNLP 2025

From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text EMNLP 2025

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review EMNLP 2025

MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions COLING 2025

CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists EMNLP 2025

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment COLING 2025

A Compliance Checking Framework Based on Retrieval Augmented Generation COLING 2025

MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation EMNLP 2025

Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation EMNLP 2025

TempParaphraser: “Heating Up” Text to Evade AI-Text Detection through Paraphrasing EMNLP 2025

FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation EMNLP 2025

Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025

Positive Text Reframing under Multi-strategy Optimization COLING 2025

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025

From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM COLING 2025