works on

From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

cs.CV2026

VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation

Kangning Zhang, Yixing Li, Shuai Shao +9

The paper proposes Visual Attribution Distillation (VAD), a counterfactual method that isolates the visual component of teacher corrections in multimodal on‑policy distillation and…

cs.LG2026

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model

Yixing Li, Ruobing Xie, Zhen Yang +8

Transformers are the cornerstone of modern large language models, but their quadratic computational complexity limits efficiency in long-sequence processing. Recent advancements in…

cs.LG2025

Scaling Laws for Floating Point Quantization Training

Xingwu Sun, Shuaipeng Li, Ruobing Xie +13

Low-precision training is considered an effective strategy for reducing both training and downstream inference costs. Previous scaling laws for precision mainly focus on integer qu…

cs.CL2025

Direct Preference Knowledge Distillation for Large Language Models

Yixing Li, Yuxian Gu, Li Dong +3

In the field of large language models (LLMs), Knowledge Distillation (KD) is a critical technique for transferring capabilities from teacher models to student models. However, exis…

cs.SD2025

Continuous Speech Tokenizer in Text To Speech

Yixing Li, Ruobing Xie, Xingwu Sun +2

The fusion of speech and language in the era of large language models has garnered significant attention. Discrete speech token is often utilized in text-to-speech tasks for speech…