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cs.CL2026

Temporal Leakage in Financial News NLP: A Multi-Architecture Audit with a Regime-Specific M&A Signal

Chenhao Xue, Raslen Guesmi, Siwei Feng +5

Financial-news direction prediction has become a popular NLP benchmark, yet reported gains depend critically on whether the train-test split is chronological or random, i.e., on te…

cs.CL2026

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning

Zheng Wu, Chenhao Xue, Shijie Zheng +3

The paper identifies a "salience bias" in large language models where explicit but irrelevant details cause the models to overlook implicit commonsense knowledge, and shows that th…

cs.CL2026

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents

Zheng Wu, Yi Hua, Zhaoyuan Huang +8

The evolution of Multimodal Large Language Models (MLLMs) has shifted the focus from text generation to active behavioral execution, particularly via OS agents navigating complex G…

cs.CL2025

Quantifying Compositionality of Classic and State-of-the-Art Embeddings

Zhijin Guo, Chenhao Xue, Zhaozhen Xu +4

For language models to generalize correctly to novel expressions, it is critical that they exploit access compositional meanings when this is justified. Even if we don't know what…

cs.CL2025

AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification

Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla +2

When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we addr…