Text Generation

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33 papers in the last four weeks, up 175% on the four weeks before. 0.3% of all new papers.

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GLARE: Generative Learning via Adversarial Reward Estimation For Social Dynamics Forecasting
Sep 14, 2026Tenghao Huang, Zhaoxuan Tan, Muhao Chen +5RL for Language Models Adversarial Imitation Learning
Microsoft · University of Notre Dame · University of California, Davis +1
I Am No One: Style-Aware Paraphrasing for Text Anonymization
Sep 14, 2026Ahmed Sohair Khan, Estrid He, Monica Wachowicz +1Authorship Attribution Text Generation
RMIT University, Melbourne, Australia
The House with a Million Windows: Interactive Fiction for Narrative Restorying
Sep 14, 2026Cody Kommers, Sarah G Immel, Drew Hemment +1Interactive Storytelling Human-AI Co-Creation
University of Chicago Chicago, United States
What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework
Sep 14, 2026Ioannis Prokopiou, Athanasios Aidinis, Panagiotis-Christos Kyrmpatsos +1LLM Self-Refinement LLM Agent Evaluation
Athens University of Economics and Business · Orfium
Biomedical Reference Generation Remains Unreliable across 26 Large Language Models
Sep 14, 2026Maxim Topaz, Zhihong Zhang, Nir Roguin +3LLM Evaluation Hallucination in Language Models
School of Nursing, Columbia University, New York, NY, USA · Data Science Institute, Columbia University, New York, NY, USA · VNS Health, New York, NY, USA +4
PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
Sep 14, 2026Jiwon Kim, Sherry Gong, Maya Ajit +5Emotional Support Conversation Trust in AI
University of Illinois Urbana-Champaign, Urbana, IL, USA · University of Illinois Urbana-Champaign, USA · Aalto University, Finland +1
Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks
Sep 13, 2026Kareem Khattab, Omar Khattab, Mohamed IbrahemLLM Evaluation Text Generation
Entendre Finance
Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu
Sep 12, 2026Farah Adeeba, Abdul Rafae Khan, Rajesh Bhatt +1Multilingual Language Model Evaluation Cultural Knowledge in Language Models
University of Konstanz, Germany · University of Massachusetts Amherst, USA · Malaysia School of Information Technology, Monash University Malaysia +1
Validating DBpedia Triple Sets for Natural Language Generation
Sep 7, 2026Mark Andrade, Simon Mille, Anya Belz +1Knowledge Graphs Text Generation
ADAPT Centre, Dublin City University, Ireland · University of Bordeaux, CNRS, LaBRI-UMR5800, France
How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling
Sep 2, 2026Katrin Rohrbacher, Björn Nieth, Emmanuelle Salin +2Computational Literary Studies Text Generation
The Text and Language Lab, Department of Digital Humanities and Social Studies (DHSS), FAU Erlangen-Nürnberg, Germany · Department Artificial Intelligence in Biomedical Engineering (AIBE), FAU Erlangen-Nürnberg, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +3
PragAlign: Feedback-Guided Pragmatic Alignment for Controlled Synthetic Dialogue Generation
Sep 2, 2026Smitha Muthya Sudheendra, Jaideep SrivastavaText Generation Controllable Text Generation
University of Minnesota, Twin Cities
TalkFa: A Unified Benchmark for Farsi Dialogue Generation and Understanding
Sep 1, 2026Neda Jamshidi, Kamyar Zeinalipour, Fahimeh Akbari +3Multilingual Language Model Evaluation Multi-Turn Dialogue Evaluation
University of Siena, DIISM, Via Roma 56, 53100 Siena, Italy
Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation
Sep 1, 2026Thibaut Thonet, Jos Rozen, Laurent BesacierLLM Alignment TTS Evaluation
NAVER LABS Europe
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
Sep 1, 2026Rohan Kirti, Akash Ghosh, Aryan Vats +5RL for Language Models LLM Agent Training
Indian Institute of Technology Patna, India · Ramakrishna Mission Vivekananda Educational and Research Institute, India · Accenture Labs, Bangalore, India
XQDT: eXplainable and Quantitative Data-Text Alignment Metric with Feedback Signals
Aug 30, 2026Kun Efimov-Zhang, Yifei Song, Claire GardentAutomated Evaluation Explainability Evaluation
CNRS/LORIA and Université de Lorraine
AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
Aug 28, 2026Zhengyang Shan, Yukyung Lee, Sophie HaoAI-Generated Text Detection Language Model Fingerprinting
Boston University
Unfolding Scientific Papers into Multi-Turn Generation Trajectories for Continued Pre-Training
Aug 26, 2026Qiankai Xu, Qiguang Chen, Zixin Su +4Long-Form Document Generation Synthetic Benchmark Generation
ByteDance Seed · Nanjing University · Evolvent AI
SoK: From Generation to Consumption of Privacy Documents in Software Systems
Aug 12, 2026Shidong Pan, Clark LaChance, Zhen Tao +1Document Information Extraction Legal Document Analysis
New York University, USA · University of Maine, USA · Technical University of Munich, Germany
ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
Aug 11, 2026Chen Lyu, Xingwei Tan, Simon Cullen +4Synthetic Data Generation Controllable Text Generation
University of Warwick, UK · University of Sheffield, UK · Forensic Capability Network, UK +1
VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding
Aug 10, 2026Ruqi Sun, Jiaping Li, Wenhui Tao +4Human-AI Interaction Human-AI Co-Creation
Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen, Guangdong, China
RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning
Aug 10, 2026Jinkun Hou, Zhuo Liu, Huimin Ren +3Open-Ended Generation RL for Language Models
1Peking University · 2Beijing Institute of Technology · 3Li Auto Inc.
Generative Models: Principles, Architectures, and Applications
Aug 8, 2026Jun LuImage Generation Generative Modeling
CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity
Aug 7, 2026Ananya Sahu, Mohit Bansal, Elias Stengel-EskinInstruction Tuning Diverse Text Generation
Columbia · UNC Chapel Hill · University of Texas at Austin
Can Language Models Imagine Without Seeing? Ekphrasis: Measuring Visual Creative Ideation in Text-Only LLMs
Aug 7, 2026Hongyu Luo, He Wang, Huihao Jing +6Creativity Assessment LLM Evaluation
The Hong Kong University of Science and Technology, Hong Kong SAR, China
Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation
Aug 6, 2026Zini Yang, Emily Wenger, Richard SoOpen-Ended Generation LLM Evaluation
Department of Computer Science, Duke University, Durham, NC, USA · Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA · Department of English, Duke University, Durham, NC, USA
Traceable LLM-Generated Hazard Scenarios for Operational Safety Analysis of Aviation Systems Using ASRS Reports
Aug 5, 2026Cristian Mascia, Roberto Pietrantuono, Daniel Rodriguez +1Text Generation
University of Naples Federico II · Naples, Italy · University of Alcal´a +1
On the Diversity of Analogy Making in Large Language Models
Aug 4, 2026Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos +2LLM Evaluation Text Generation
Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute, Queen’s University, Canada · Instituto Federal de Goiás, Anápolis, Brazil · National Research Council Canada.
Internalizing Academic Writing Workflows for Introduction Generation via Struct-Aware Policy Learning
Aug 4, 2026Meicong Zhang, Tiancheng Su, Jiahao Cheng +3RL for Language Models AI-Assisted Scientific Research
School of Economics and Management, East China Normal University, Shanghai, China · Xiaohongshu Inc., Shanghai, China
AIDE: Automated Instruction via Distilled Expertise for Reference-Free Motor Skill Coaching
Aug 4, 2026Yoshiki ItoText Generation
Research & Development Group Hitachi, Ltd. Tokyo, Japan
Rubrics as Privileged Information for Open-Ended Generation
Aug 3, 2026Deepika Bablani, Ajay Gupta, Wanming ChenOpen-Ended Generation Rubric-Based Evaluation
Apple

Sep 14, 2026, cs.AIJ/K move · Enter open · S save

GLARE: Generative Learning via Adversarial Reward Estimation For Social Dynamics Forecasting

Tenghao Huang, Zhaoxuan Tan, Muhao Chen, Jonathan May+4

Microsoft · University of Notre Dame · University of California, Davis+1

RL for Language Models Adversarial Imitation Learning Multi-Turn Dialogue Evaluation Text Generation

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Meeting continuation requires tracking the agenda, speaker roles, participant intentions, and disagreement across long multi-party discussions. We introduce the Meeting Dynamic Forecasting Benchmark (MDFB), constructed from 2,207 real-world meetings and 24,794 future-facing queries. Given a transcript prefix and an active question, a model generates a plausible multi-turn continuation in one call. We evaluate utility---progress toward the question---and human-likeness---plausible conversational flow and role consistency---without requiring exact reproduction of the observed future. We further present GLARE, an adaptation of adversarial imitation learning to conditional language generation. A discriminator ranks the observed continuation above samples from the current actor, and its score supplies a KL-regularized policy reward; retraining on current-policy negatives allows the reward landscape to evolve with the actor. GLARE attains average human-evaluated win rates of 0.66 on utility and 0.70 on human-likeness, outperforming SFT and SPIN while remaining below the observed human continuation. We also demonstrate MDFB as a social reasoning arena for comparing general-purpose models, including closed-source systems, through reference-assisted judgments. Together, these studies illustrate the benchmark's use for both task-specific learning and output-based evaluation of meeting behavior.

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Latest papers 265