5 citations · 6 across the 30 of their papers we have counts for
9 papers · 1 filter
CONDUIT: A Unified Residual-Stream Restoration Framework for KV Cache Reuse in Vision-Language Models
Pengan Chen, Kaisheng Zheng, Liang Hong +10
Vision-language models (VLMs) often answer new questions about recurring visual content, where reusing the key-value (KV) cache can avoid re-encoding expensive visual prefixes. Exa…
MemDefrag: Latent Memory Defragmentation for Large Language Models
Ruiyi Yan, Zhuoyuan Mao, Yiwen Guo
Latent memory, which stores past knowledge fragments as per-layer hidden states, has emerged as a promising paradigm (e.g., MemoryLLM and M+) for long-term memory in large language…
MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents
Bohan Tang, Yiwen Guo
Equipping Large Language Models (LLMs) with human-like personas is crucial for agentic applications, such as role-play and user simulation. Traditional prompt-based methods rely on…
EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World
Qing Zong, Yue Guo, Mengxin Yang +2
This paper introduces EvolvingWorld, a framework and benchmark for character and world co-evolution in interactive literary worlds. Existing systems either treat interactive litera…
Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory
Weixian Waylon Li, Jiaxin Zhang, Xianan Jim Yang +2
Structured memory representations such as knowledge graphs are central to autonomous agents and other long-lived systems. However, most existing approaches model time as discrete m…
Empathy Omni: Enabling Empathetic Speech Response Generation through Large Language Models
Haoyu Wang, Guangyan Zhang, Jiale Chen +3
With the development of speech large language models (speech LLMs), users can now interact directly with assistants via speech. However, most existing models only convert response…
Entropy-based Coarse and Compressed Semantic Speech Representation Learning
Jialong Zuo, Guangyan Zhang, Minghui Fang +5
Discrete speech representation learning has recently attracted increasing interest in both acoustic and semantic modeling. Existing approaches typically encode 16 kHz waveforms int…
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
Zhuo Li, Yuhao Du, Xiaoqi Jiao +5
Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Model…
Recent Advances in Speech Language Models: A Survey
Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao +5
Large Language Models (LLMs) have recently garnered significant attention, primarily for their capabilities in text-based interactions. However, natural human interaction often rel…