5 papers
OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
Zhenghua Bao, Fengya Tian, Chris Zhang +3
The rapid development of large language models, each with distinct capabilities and inference costs, raises a practical deployment question: given an incoming request, which model…
IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
Zhenghua Bao, Yi Shi
Multi-hop question answering (QA) requires reasoning across multiple documents, yet existing retrieval-augmented generation (RAG) approaches address this either through graph-based…
FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model with Personalized Voice Cloning
Tanyu Chen, Tairan Chen, Kai Shen +4
Recent end-to-end spoken dialogue systems leverage speech tokenizers and neural audio codecs to enable LLMs to operate directly on discrete speech representations. However, these m…
NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training
Suli Wang, Yangshen Deng, Zhenghua Bao +2
Large-scale foundation models for EEG signals offer a promising path to generalizable brain-computer interface (BCI) applications, but they often suffer from misalignment between p…
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
Jannis Weil, Zhenghua Bao, Osama Abboud +1
Graph-based environments pose unique challenges to multi-agent reinforcement learning. In decentralized approaches, agents operate within a given graph and make decisions based on…