Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Hallucination of multimodal large language models: A survey
This survey presents a comprehensive analysis of the phenomenon of hallucination in
multimodal large language models (MLLMs), also known as Large Vision-Language Models …
multimodal large language models (MLLMs), also known as Large Vision-Language Models …
Halle-switch: Rethinking and controlling object existence hallucinations in large vision language models for detailed caption
Current large vision-language models (LVLMs) achieve remarkable progress, yet there
remains significant uncertainty regarding their ability to accurately apprehend visual details …
remains significant uncertainty regarding their ability to accurately apprehend visual details …
Decoding the silent majority: Inducing belief augmented social graph with large language model for response forecasting
Automatic response forecasting for news media plays a crucial role in enabling content
producers to efficiently predict the impact of news releases and prevent unexpected …
producers to efficiently predict the impact of news releases and prevent unexpected …
Normsage: Multi-lingual multi-cultural norm discovery from conversations on-the-fly
Norm discovery is important for understanding and reasoning about the acceptable
behaviors and potential violations in human communication and interactions. We introduce …
behaviors and potential violations in human communication and interactions. We introduce …
Fake artificial intelligence generated contents (FAIGC): a survey of theories, detection methods, and opportunities
In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …
Defining a new NLP playground
The recent explosion of performance of large language models (LLMs) has changed the
field of Natural Language Processing (NLP) more abruptly and seismically than any other …
field of Natural Language Processing (NLP) more abruptly and seismically than any other …
Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement
The increasing demand for personalized interactions with large language models (LLMs)
calls for methodologies capable of accurately and efficiently identifying user opinions and …
calls for methodologies capable of accurately and efficiently identifying user opinions and …
Autoprm: Automating procedural supervision for multi-step reasoning via controllable question decomposition
Recent advancements in large language models (LLMs) have shown promise in multi-step
reasoning tasks, yet their reliance on extensive manual labeling to provide procedural …
reasoning tasks, yet their reliance on extensive manual labeling to provide procedural …