Text Generation

Follow this topic Ask about this topic

Momentum

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

Jul 13Week of Sep 28

Latest papers 265

All topics

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation
Jul 10, 2026Runhan Shi, Quan Zhou, Yuqian Xu +14Healthcare Clinical Language Model Evaluation
JD Health International Inc. · Shanghai Jiao Tong University · National University of Singapore +3
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
Jul 9, 2026Yashal Shakti Kanungo, Gyanendra Das, Pooja A +1Transformer Online Advertising
Amazon United States of America · Amazon India
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation
Jul 8, 2026Jordan Painter, Dipankar Srirag, Adarsh Kappiyath +3Language Model Pretraining LLM Alignment
Institute for People-Centred AI, University of Surrey, Surrey, United Kingdom · University of New South Wales, Sydney, Australia
Ad Headline Generation using Self-Critical Masked Language Model
Jul 7, 2026Yashal Shakti Kanungo, Sumit Negi, Aruna RajanText Generation
Amazon
Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search
Jul 7, 2026Riccardo Terrenzi, Serkan AyvazIR Evaluation Synthetic Data Evaluation
University of Southern Denmark Sønderborg, Denmark
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Jul 5, 2026Lingao Xiao, Yalun Dai, Yangyu Huang +17AI-Assisted Scientific Research Scientific Workflow Automation
Microsoft Research · Nanyang Technological University · ♭The author and maintainer of ppt-master. +6
Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
Jul 4, 2026Kareem Elozeiri, Mervat Abassy, Omar Kallas +4Arabic NLP LLM Interpretability
1Mohamed bin Zayed University of Artificial Intelligence · 2Qatar Computing Research Institute, Hamad Bin Khalifa University · 3Tohoku University +1
Don't Wait to Reply: Towards Responsive yet Thoughtful Dialogue through Proactive Thinking
Jul 3, 2026Ante Wang, Jiaqi Fu, Xuanyi Chen +4Efficient Language Model Inference Text Generation
Institute for AI Industry Research (AIR), Tsinghua University · Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University · Tencent
HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation
Jul 2, 2026Lourdes Moreno, Paloma Martínez, Marco Antonio Sanchez-Escudero +1Multi-Agent LLM Systems Text Generation
Computer Science and Engineering Department, Universidad Carlos III de Madrid, Av. Universidad, 30, Leganés, 28911, Spain
Discrete Diffusion Language Models for Interactive Radiology Report Drafting
Jul 1, 2026Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +1Radiology Report Generation Diffusion Language Models
Department of Biomedical Data Science, Stanford University School of Medicine · Department of Mathematical Modelling, Statistics & Bioinformatics, Ghent University · Department of Electrical Engineering, Stanford University
Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations
Jul 1, 2026Mehul Damani, Isha Puri, Idan Shenfeld +1Reward Hacking RL for Language Models
MIT EECS
From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
Jul 1, 2026Aayush Aluru, Chloe Ho, Muhammad Hammouri +5Grounded Text Generation Multi-Agent LLMs
Pocket FM · Princeton University · University of Michigan +2
Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs
Jul 1, 2026Shuai Zhang, Zijie Chen, Hongliang He +2Language Model Generation Evaluation Diffusion Language Model Inference
Zhejiang University · Westlake University · Ant Group
Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
Jun 30, 2026Ekaterina Alimaskina, Denis Shveykin, Gleb Molodtsov +3Indirect Prompt Injection Synthetic Data Generation for Language Models
BRAIn Lab · Yandex Research
Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support
Jun 29, 2026Mizanur Rahman, Abeer Badawi, Elahe Rahimi +4Mental Health Counseling Multi-Agent LLM Systems
1York University, Ontario, Canada · 2Vector Institute, Ontario, Canada · 3Connected Minds, Ontario, Canada +1
When transformers learn "impossible" languages, what do they learn?
Jun 29, 2026Ram Janarthan, Coleman Haley, Sharon GoldwaterLinguistic Bias in Language Models Text Generation
University of Edinburgh
ARKD: Adaptive Reinforcement Learning-Guided Bidirectional KL Divergence Distillation for Text Generation
Jun 29, 2026Zilong Liu, Xuewen Zhang, Jinrui Xing +3Language Model Distillation Knowledge Distillation
Li Auto, Beijing, China · School of Software and Microelectronics, Peking University, China
MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling
Jun 28, 2026Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2Mental Health Counseling Emotional Support Conversation
Beijing Institute of Technology · Singapore Management University · Australian National University
OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning
Jun 24, 2026Wenxuan Jiang, Zining Fan, Zijian Zhang +6Open-Ended Generation Intrinsic Reward Methods
The Hong Kong Polytechnic University · Peking University · Meituan Longcat Team +2
Staying In Character: Perspective-Bounded Memory For Book-Based Role-Playing Agents
Jun 24, 2026Xushuo Tang, Junhe Zhang, Zihan Yang +4Conversational Agents Text Generation
UNSW Sydney · Chang’an University · RAIDS Lab +2
Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation
Jun 24, 2026DatologyAI, :, Matthew L. Leavitt +8Efficient VLM Inference Text Generation
DatologyAI Team1
Same Lesson, Different Story: Cross-Lingual Reconstruction of Cultural Narratives in Large Language Models
Jun 23, 2026Jory Alshaalan, Haya Albaker, Abeer Aldayel +2Multilingual Language Model Evaluation LLM Grounding
College of Computer and Information Sciences King Saud University, Saudi Arabia
AI Fiction in the Wild
Jun 22, 2026Neel Gupta, Maria Antoniak, Melanie WalshHuman-AI Interaction Human-AI Co-Creation
Information School University of Washington Seattle, WA · Computer Science University of Colorado Boulder Boulder, CO · Information School & Department of English University of Washington Seattle, WA
Context-Aware Distillation and Ablation for Text2DSL
Jun 21, 2026Alexander V. Kozachok, Alexander M. Nazimov, Shamil G. MagomedovLLM Prompting LLM-Based Program Synthesis
MIREA – Russian Technological University, Moscow, Russian Federation · Academy of the Federal Guard Service of the Russian Federation, Oryol, Russian Federation
Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding
Jun 21, 2026Yuanhao Ding, Meimingwei Li, Esteban Garces Arias +3Open-Ended Generation Language Model Decoding
School of Computer and Information Engineering, Henan University · Department of Statistics, LMU Munich · 3Munich Center for Machine Learning (MCML)
Music Playlist Captioning at Scale with Large Language Models
Jun 21, 2026Mathieu Delcluze, Léa Briand, Benjamin Chapus +2Text Generation Explainable Recommendation
Deezer Research · SJTU Paris Elite Institute of Technology
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
Jun 21, 2026Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie +2LLM Evaluation Diverse Text Generation
UNC Chapel Hill · Georgia Institute of Technology · University of Michigan
Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation
Jun 20, 2026Nour Rabih, Chatrine Qwaider, Ted BriscoeLLM Evaluation Controllable Text Generation
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models
Jun 19, 2026Han Jang, Junhyeok Lee, Songsoo Kim +4VLM Evaluation Medical VLMs
1Seoul National University · 2Seoul National University Hospital · 3Seoul National University College of Medicine +1
Scaling Diverse Language Generation for 3D Visual Grounding
Jun 18, 2026Austin T. Wang, Dongchen Yang, Angel X. ChangSynthetic Data Generation Text Generation
Simon Fraser University

Jul 10, 2026, cs.AIJ/K move · Enter open · S save

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation

Runhan Shi, Quan Zhou, Yuqian Xu, Shuai Yang+13

JD Health International Inc. · Shanghai Jiao Tong University · National University of Singapore+3

Healthcare Clinical Language Model Evaluation Multimodal Model Evaluation Medical LLMs Text Generation

Open paper AskPDF arXiv

Large language models (LLMs) are increasingly deployed in online medical consultation, yet existing benchmarks remain poorly aligned with real clinical practice. Many rely on synthetic conversations or patient simulators, omit patient-uploaded medical images, or evaluate open-ended clinical responses using multiple-choice or lexical-overlap metrics that poorly reflect clinical quality. We introduce \textbf{MedRealMM}, a large-scale benchmark for multimodal online medical consultation built from de-identified patient-doctor interactions collected from a nationwide Chinese internet hospital. MedRealMM uses a Multimodal Clinical Challenge Point (MCCP) extraction framework to identify clinically demanding moments in authentic consultation trajectories and converts each into a standardized next-response generation task while preserving the preceding text-image context. Each instance is paired with a case-specific rubric refined by physicians that rewards clinically desirable behaviors and penalizes unsafe, unsupported, or contradictory responses. The current release contains 5,620 real-world multimodal cases spanning 64 clinical departments. We evaluate 19 general-purpose and medical-specialized LLMs, including text-only and multimodal systems. Our results show that image information is critical for reliable clinical performance and that current frontier models remain below the online physician response. Although some frontier models satisfy as many or more positive clinical criteria than physicians, they trigger more negative criteria, indicating that safety-sensitive error avoidance remains a central bottleneck. MedRealMM offers a realistic and reproducible benchmark for evaluating multimodal medical reasoning in real-world online consultation. The dataset will be publicly available on Hugging Face at https://huggingface.co/datasets/jdh-algo/MedRealMM.

Momentum

Related topics

Latest papers 265