most citedMPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks

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cs.CL2025

EfficientLLM: Efficiency in Large Language Models

Zhengqing Yuan, Weixiang Sun, Yixin Liu +13

Large Language Models (LLMs) have driven significant progress, yet their growing parameter counts and context windows incur prohibitive compute, energy, and monetary costs. We intr…

cs.CL2025

Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs

Huichi Zhou, Zehao Xu, Munan Zhao +3

In this paper, we introduce the Multilingual Moral Reasoning Benchmark (MMRB) to evaluate the moral reasoning abilities of large language models (LLMs) across five typologically di…

cs.CL2024

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Dongping Chen, Ruoxi Chen, Shilin Zhang +7

Multimodal Large Language Models (MLLMs) have gained significant attention recently, showing remarkable potential in artificial general intelligence. However, assessing the utility…