A comprehensive survey of hallucination in large language, image, video and audio foundation models
The rapid advancement of foundation models (FMs) across language, image, audio, and
video domains has shown remarkable capabilities in diverse tasks. However, the …
video domains has shown remarkable capabilities in diverse tasks. However, the …
Retrieval-augmented generation for ai-generated content: A survey
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
advancements in model algorithms, scalable foundation model architectures, and the …
A multifaceted vision of the Human-AI collaboration: a comprehensive review
M Puerta-Beldarrain, O Gómez-Carmona… - IEEE …, 2025 - ieeexplore.ieee.org
Human-AI collaboration has evolved into a complex, multidimensional paradigm shaped by
research in various domains. Key areas such as human-in-the-loop systems, Interactive …
research in various domains. Key areas such as human-in-the-loop systems, Interactive …
Audiobox tta-rag: Improving zero-shot and few-shot text-to-audio with retrieval-augmented generation
Current leading Text-To-Audio (TTA) generation models suffer from degraded performance
on zero-shot and few-shot settings. It is often challenging to generate high-quality audio for …
on zero-shot and few-shot settings. It is often challenging to generate high-quality audio for …
Melody is all you need for music generation
We present the Melody Guided Music Generation (MMGen) model, the first novel approach
using melody to guide the music generation that, despite a pretty simple method and …
using melody to guide the music generation that, despite a pretty simple method and …
FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
Language-queried audio source separation (LASS) focuses on separating sounds using
textual descriptions of the desired sources. Current methods mainly use discriminative …
textual descriptions of the desired sources. Current methods mainly use discriminative …
Sound-VECaps: Improving Audio Generation With Visual Enhanced Captions
Generative models have shown significant achievements in audio generation tasks.
However, existing models struggle with complex and detailed prompts, leading to potential …
However, existing models struggle with complex and detailed prompts, leading to potential …
Rhythmic foley: A framework for seamless audio-visual alignment in video-to-audio synthesis
Our research introduces an innovative framework for video-to-audio synthesis, which solves
the problems of audio-video desynchronization and semantic loss in the audio. By …
the problems of audio-video desynchronization and semantic loss in the audio. By …
Retrieval-Augmented Dialogue Knowledge Aggregation for expressive conversational speech synthesis
Conversational speech synthesis (CSS) aims to take the current dialogue (CD) history as a
reference to synthesize expressive speech that aligns with the conversational style. Unlike …
reference to synthesize expressive speech that aligns with the conversational style. Unlike …
[PDF][PDF] BATON: aligning text-to-audio model using human preference feedback
With the development of AI-Generated Content (AIGC), text-to-audio models are gaining
widespread attention. However, it is challenging for these models to generate audio aligned …
widespread attention. However, it is challenging for these models to generate audio aligned …