Text Generation
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Benchmarks
DART
COCO Captions
EMNLP2017 WMT
ReDial
CommonGen
ROCStories
Chinese Poems
OpenWebText
SciQ
Yahoo Questions
ADGEN
CMU-SE
CNN/Daily Mail
CSL
DailyDialog
HarmfulQA
LCSTS
LDC2016E25
One Billion Word
Most implemented
Learning Transferable Visual Models From Natural Language Supervision
Show and Tell: A Neural Image Caption Generator
Generating Sequences With Recurrent Neural Networks
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Papers
PLUME: Parameter-Efficient Personalization of Large Language Models via Low-Rank User Modulation in Shared Subspaces
Personalizing large language models (LLMs) is essential for delivering AI assistance that aligns with individual users' styles, intents, and preferences. While per-user fine-tuning can substantially enhance personalizati…
Text GenerationWhat Did I Just Say? Self-Listening for Full-Duplex Speech Models
Full-duplex spoken language models can listen and speak simultaneously, enabling them to handle interruptions and backchannels in human conversation. However, text generation, speech synthesis, and audio playback proceed…
Speech SynthesisText GenerationRedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text generation alone. Exist…
Text GenerationOverview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models
In 2026, we held the fourth iteration of the SHROOM Shared Task series: SHROOM-Visions (\textbf{S}hared-task on \textbf{H}allucinations and \textbf{R}elated \textbf{O}bservable \textbf{O}vergeneration \textbf{M}istakes i…
Image CaptioningText GenerationLITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space
Personalized text generation for authors and literary writing is essential for applications such as adaptive writing assistants, creative support tools, and computational literary analysis. However, existing approaches t…
Text GenerationThe Illusion of Control: Why Bare Classifier Inversion Silently Fails in Concept-Bottleneck Text Generation
Concept-bottleneck controllable generation routes multi-attribute control through a low-dimensional concept code that, at deployment, must be synthesised from a target attribute configuration. We study this problem in co…
Text Generation