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From the 1 of 25 linked papers with an AI index.

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20242026
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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.CL2026

Instruction Anchor: Dissecting the Mechanistic Dynamics of Modality Arbitration

Yu Zhang, Mufan Xu, Xuefeng Bai +4

Modality following is the ability to selectively leverage multimodal contexts based on user instructions. It is fundamental to the safety and reliability of multimodal large langua…

cs.CL2026

When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning

Yang Xiang, Yixin Ji, Ruotao Xu +4

Large reasoning models (LRMs) have achieved remarkable performance in complex reasoning tasks, driven by their powerful inference-time scaling capability. However, LRMs often suffe…

cs.CL2026

Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck

Hongbin Zhang, Kehai Chen, Xuefen Bai +4

Large language models (LLMs) have become a standard for multilingual evaluation, yet they exhibit a severe systematic translationese bias. In this paper, translationese bias is cha…

cs.CL2026

Evaluating and Steering Modality Preferences in Multimodal Large Language Model

Yu Zhang, Jinlong Ma, Yongshuai Hou +5

Multi-modal large language models (MLLMs) have achieved remarkable success on complex multi-modal tasks. However, it remains insufficiently explored whether they exhibit $\textbf{m…

cs.CL2026

Exploring the Translation Mechanism of Large Language Models

Hongbin Zhang, Kehai Chen, Xuefeng Bai +3

While large language models (LLMs) demonstrate remarkable success in multilingual translation, their internal core translation mechanisms, even at the fundamental word level, remai…