collaborators

7 papers

cs.AI2026

Oilbird: Training-Free Speculative Decoding with Keys the Verifier Already Computes

Tao Jin, Phuong Minh Nguyen, Zhenzhu Yan +2

Training-free speculative decoding drafts by matching an exact suffix of the context against a pool of earlier context. That lookup misses correct drafts already in the pool, most…

q-fin.RM2026

A Certified Higher Order Quantum Framework for CSA and Margin-Aware Collateral Optimization

Tao Jin, Stuart Florescu

Collateral allocation for uncleared derivatives is a legally constrained and operationally discrete optimization problem. Institutions must satisfy margin requirements while respec…

cs.CL2026

Goose: Anisotropic Speculation Trees for Training-Free Speculative Decoding

Tao Jin, Phuong Minh Nguyen, Naoya Inoue

Speculative decoding accelerates large language model inference by drafting multiple candidate tokens and verifying them in a single forward pass. Candidates are organized as a tre…

cs.AI2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Xinlei Yu, Zhangquan Chen, Yongbo He +36

Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an inc…

eess.AS2026

X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs

Di Cao, Dongjie Fu, Hai Yu +3

While the shift from cascaded dialogue systems to end-to-end (E2E) speech Large Language Models (LLMs) improves latency and paralinguistic modeling, E2E models often exhibit a sign…

cs.IR2025

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval

Ruofan Hu, Yan Xia, Minjie Hong +5

Multimodal large language models (MLLMs) have seen substantial progress in recent years. However, their ability to represent multimodal information in the acoustic domain remains u…

eess.AS2025

Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation

Wenrui Liu, Qian Chen, Wen Wang +11

Neural audio codecs, used as speech tokenizers, have demonstrated remarkable potential in the field of speech generation. However, to ensure high-fidelity audio reconstruction, neu…