5 papers
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Mind Lab, :, Vin Bo +74
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized arou…
HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
Xintao Wang, Jian Yang, Weiyuan Li +8
Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Langu…
CapTalk: Unified Voice Design for Single-Utterance and Dialogue Speech Generation
Xiaosu Su, Zihan Sun, Peilei Jia +1
Voice design from natural language descriptions is emerging as a new task in text-to-speech multimodal generation, aiming to synthesize speech with target timbre and speaking style…
Hello-Chat: Towards Realistic Social Audio Interactions
Yueran Hou, Peilei Jia, Zihan Sun +5
Recent advancements in Large Audio Language Models (LALMs) have demonstrated exceptional performance in speech recognition and translation. However, existing models often suffer fr…
SI-Bench: Benchmarking Social Intelligence of Large Language Models in Human-to-Human Conversations
Shuai Huang, Wenxuan Zhao, Jun Gao
As large language models (LLMs) develop anthropomorphic abilities, they are increasingly being deployed as autonomous agents to interact with humans. However, evaluating their perf…