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From the 1 of 14 linked papers with an AI index.

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14 papers

cs.CL2026

MemDefrag: Latent Memory Defragmentation for Large Language Models

Ruiyi Yan, Zhuoyuan Mao, Yiwen Guo

The paper introduces MemDefrag, a training-free, model-agnostic method that uses middle-layer attention signals to reorder and filter latent memory fragments in large language mode…

eess.AS2026

SemanticAudio: Audio Generation and Editing in Semantic Space

Zheqi Dai, Guangyan Zhang, Haolin He +5

In recent years, Text-to-Audio Generation has achieved remarkable progress, offering sound creators powerful tools to transform textual inspirations into vivid audio. However, exis…

eess.AS2026

One-Step Token-to-Waveform Generation with MeanFlow in Latent Space

Zheqi Dai, Guangyan Zhang, Zhen Ye +5

Neural audio codecs are central to modern LLM-based Text-to-Speech (TTS) and multimodal systems. As low-bitrate semantic codecs gain prominence, the Token-to-Waveform (Token2Wav) d…

eess.AS2026

UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment

Yuanyuan Wang, Dongchao Yang, Yayue Deng +4

Evaluating speech generation still relies heavily on human judgments, such as Mean Opinion Score (MOS), which are expensive, subjective, and difficult to reproduce at scale. While…

cs.LG2026

DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models

Xuyang Zhong, Qizhang Li, Yiwen Guo +1

We propose DualOptim+, a novel optimization framework for improving machine unlearning in large language models. It introduces a base state to capture common representations shared…

cs.SD2026

AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models

Wenyu Li, Xiaoqi Jiao, Yi Chang +2

The creation of high-quality multimodal datasets remains fundamental for advancing role-playing capabilities in large language models (LLMs). While existing works predominantly foc…