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20222026
most citedQwen2.5 Technical Report

107 citations · 192 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior

Huisheng Wang, Zhuoshi Pan, Hangjing Zhang +3

Aligning Large Language Models (LLMs) with investor decision-making processes under herd behavior is a critical challenge in behavioral finance, which grapples with a fundamental l…

cs.CR2025

X-Guard: Multilingual Guard Agent for Content Moderation

Bibek Upadhayay, Vahid Behzadan, Ph. D

Large Language Models (LLMs) have rapidly become integral to numerous applications in critical domains where reliability is paramount. Despite significant advances in safety framew…

cs.CL2025★ 12 cited

Qwen2.5-1M Technical Report

An Yang, Bowen Yu, Chengyuan Li +25

We introduce Qwen2.5-1M, a series of models that extend the context length to 1 million tokens. Compared to the previous 128K version, the Qwen2.5-1M series have significantly enha…

cs.CV2025

KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration

Chengyuan Li, Suyang Zhou, Jieping Kong +2

Zero-shot anomaly detection (ZSAD) identifies anomalies without needing training samples from the target dataset, essential for scenarios with privacy concerns or limited data. Vis…

cs.CL2025★ 107 cited

Qwen2.5 Technical Report

Qwen, :, An Yang +41

In this report, we introduce Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has been sign…