collaborators

17 papers

cs.SD2026

VibeVoice-ASR-BitNet Technical Report

Songchen Xu, Ting Song, Shaohan Huang +10

We present VibeVoice-ASR-BitNet, a compressed variant of VibeVoice-ASR optimized for real-time inference on edge CPUs. We apply heterogeneous quantization tailored to the computati…

cs.LG2026

Multi-Turn On-Policy Distillation with Prefix Replay

Baohao Liao, Hanze Dong, Christof Monz +3

The paper introduces ReOPD, a method that reuses pre‑collected teacher trajectories as replayed prefixes to train LLM agents without costly new environment interactions, improving…

cs.CL2026

You Only Index Once: Cross-Layer Sparse Attention with Shared Routing

Yutao Sun, Yanqi Zhang, Li Dong +2

Long-context inference in modern LLMs is increasingly constrained by decoding efficiency, especially in reasoning-heavy settings where models generate long intermediate chains of t…

cs.CV2026

DocReward: A Document Reward Model for Structuring and Stylizing

Junpeng Liu, Yuzhong Zhao, Bowen Cao +17

Recent agentic workflows automate professional document generation but focus narrowly on textual quality, overlooking structural and stylistic professionalism, which is equally cri…

cs.CL2026

Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations

Wen Luo, Guangyue Peng, Wei Li +8

Despite their impressive capabilities, large language models (LLMs) frequently generate hallucinations. Previous work shows that their internal states encode rich signals of truthf…

cs.CL2026

Computer Environments Elicit General Agentic Intelligence in LLMs

Daixuan Cheng, Shaohan Huang, Yuxian Gu +6

Agentic intelligence in large language models (LLMs) requires not only model intrinsic capabilities but also interactions with external environments. Equipping LLMs with computers…