Overview

Text generation studies how models produce language for tasks such as dialogue, summarization, storytelling, translation, and structured reports. Autoregressive transformers generate token by token, while masked-diffusion and flow-based models explore parallel or few-step generation; decoding and activation steering offer ways to adjust outputs without retraining. For longer or constrained tasks, systems combine planning, retrieval, structured representations, editing, and feedback-based training such as reinforcement learning. A central challenge is balancing speed and instruction-following with factuality, diversity, cultural fit, and quality that human readers and domain experts value.

Latest papers

CardsList

422 papers50 papers in the last four weeks, up 22% on the four weeks before. 0.3% of all new papers.

  1. Text Generation in Low-Resource Languages Using Human-Curated Vocabularies

    Oct 27, 2026Michael Christlambert Sinanta, Muhammad Dehan Al Kautsar, Amanda Nurul Izzah +4Text GenerationSynthetic Data Generation for Language Models

  2. Wave Is All You Need: A Quantum Language Model Based on Fully Connected Quantum Boltzmann Machine

    Oct 25, 2026Jun LiuLanguage ModelingQuantum NLP

  3. Birth, Death and Diff: Insertion-Based Sequence Generation with Corrections

    Oct 25, 2026Durga Prasad Maram, Dhruvesh Patel, Tahira Naseem +4Diffusion Language ModelsText Generation

  4. Decoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation

    Oct 23, 2026Qiyuan Li, Xiaomei Guo, Chao Gao +4Synthetic Clinical Data GenerationText Generation

  5. DraMaze: A Multi-Agent Pipeline with Future-Aware Memory for Diverse Microdrama Script Generation

    Oct 22, 2026Siyang He, Qiqi Wang, Fan Liu +5Narrative GenerationText Generation

  6. Padding to k: A Minimum Count in the Schema Makes Open-Weight Models Pad Their Extraction Lists

    Oct 22, 2026Abhishek Barali, Aayush PaudelLLM Information ExtractionText Generation

  7. Metamodel-Guided LLM Decoding for Consistent DSL Generation

    Oct 21, 2026Boqi Chen, Aren A. Babikian, José Antonio Hernández LópezConstrained DecodingSoftware Engineering

  8. A Diagnostic Study of Faithfulness in Diffusion Language Models for Table-to-Text Generation

    Oct 21, 2026Zaynab Merimi, Noussayba El Marrakchi, Arthur SatoufText GenerationGrounded Text Generation

  9. Query Feedback and Teaching for Stable and Certifiable Language Generation

    Oct 20, 2026Farnam Mansouri, Alireza F. Pour, Grigoris Velegkas +1Text Generation

  10. Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs

    Oct 18, 2026Minsung Hwang, Donggyu Yoon, Gowoon Hwang +2Text GenerationRecommender Systems

  11. No-Regret Language Generation

    Oct 16, 2026Jiaxun Li, Vinod Raman, Ambuj TewariText GenerationMinimax Regret

  12. Designing Transformers for Continuous Diffusion Language Models

    Oct 15, 2026Weijian Luo, Yujian Chen, Hao Jiang +2Diffusion Language ModelsContinuous Diffusion Language Models

  13. SceneWeave: Audience-Guided Scene Exploration for Dramatic Adaptation

    Oct 15, 2026Aolin Li, Xiao Xu, Haihua XieText Generation

  14. Can LLMs Tell Stories Out of Order? A Corpus and Benchmark for Nonlinear Narrative Generation

    Oct 15, 2026Syed Rifat Raiyan, Md. Tariquzzaman, Md Farhan Ishmam +1Narrative GenerationText Generation

  15. Automatic Sentence Completion Using Bengali Audio Speech with a Transformer-Based Early Speech Recognition System

    Oct 15, 2026Md Asif Akram, Arif Faisal, Sakir Hossain Faruque +1Speech-Based Dementia DetectionClinical Speech Processing

  16. CSWBench: Evaluating Context-Sensitive Code-Switching in Creative Writing

    Oct 14, 2026Zewen Jiang, Yahan Li, Chenlu Guo +3Code-SwitchingMultilingual Language Model Evaluation

  17. Asymptotic Behavior of Transformers

    Oct 14, 2026Katy Blumer, Da-Cheng Juan, Jon Kleinberg +3Transformer Training DynamicsTransformer

  18. Narrative Lookahead in LLMs: Event-Level Decodability, Predictive Advantage, and Steering

    Oct 13, 2026Donghoon Jung, Min Kim, Seojin Choi +2Next-Event PredictionText Generation

  19. Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation

    Oct 9, 2026Hermann Kumbong, Ishan S. Khare, Iddah Mlauzi +6Text GenerationNon-Autoregressive Text Generation

  20. One-Step Text Generation by Seq-Drifting

    Oct 9, 2026Jiayu Liu, Ruizhi Zhao, Tianyun Ji +3Text GenerationOne-Step Generative Modeling