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From the 1 of 17 linked papers with an AI index.

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17 papers

cs.CL2026

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders

Yexing Du, Kaiyuan Liu, Youcheng Pan +4

Multimodal large language models (MLLMs) have achieved significant success in speech-to-text translation (S2TT). However, when processing multilingual speech inputs, a single speec…

cs.CL2026

DualAnchor: Preserving Language Priors and Improving Lexical Fidelity in Gloss-Free Sign Language Translation

Hongbin Zhang, Junhao Liu, Xuefeng Bai +3

The paper introduces DualAnchor, a training framework for gloss-free sign language translation that preserves large language model priors with token-level prior anchoring and enhan…

cs.AI2026

Parameter- and Bandwidth-Efficient Edge--cloud Many-to-Many Speech-to-Text Translation

Yexing Du, Kaiyuan Liu, Youcheng Pan +5

Multimodal large language models (MLLMs) have demonstrated significant potential for speech-to-text translation (S2TT). However, existing deployment paradigms face critical challen…

cs.CV2026

Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance

Yingjie Zhu, Xuefeng Bai, Kehai Chen +4

Reasoning over table images remains challenging for Large Vision-Language Models (LVLMs) due to complex layouts and tightly coupled structure-content information. Existing solution…

cs.LG2026

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning

Hongbin Zhang, Chaozheng Wang, Kehai Chen +4

On-policy self-distillation (OPSD) is an emerging LLM post-training paradigm in which the model serves as its own teacher: conditioned on privileged information such as a reference…

cs.CL2026

MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus

Yexing Du, Kaiyuan Liu, Bihe Zhang +9

With the rapid advancement of Multimodal Large Language Models (MLLMs), their potential has gained significant attention in Chinese Classical Studies (CCS). While existing research…