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20242026
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cs.CL2025

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Hui Huang, Xingyuan Bu, Hongli Zhou +5

Recently, there has been a growing trend of utilizing Large Language Model (LLM) to evaluate the quality of other LLMs. Many studies have fine-tuned judge models based on open-sour…

cs.CL2025

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen +4

Despite being empowered with alignment mechanisms, large language models (LLMs) are increasingly vulnerable to emerging jailbreak attacks that can compromise their alignment mechan…

cs.CL2025

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering

Mufan Xu, Kehai Chen, Xuefeng Bai +3

Large language models (LLMs) based on generative pre-trained Transformer have achieved remarkable performance on knowledge graph question-answering (KGQA) tasks. However, LLMs ofte…

cs.CL2025

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation

Andong Chen, Yuchen Song, Kehai Chen +3

Visual information has been introduced for enhancing machine translation (MT), and its effectiveness heavily relies on the availability of large amounts of bilingual parallel sente…

cs.CL2024

LLM-based Translation Inference with Iterative Bilingual Understanding

Andong Chen, Kehai Chen, Yang Xiang +5

The remarkable understanding and generation capabilities of large language models (LLMs) have greatly improved translation performance. However, incorrect understanding of the sent…

cs.CL2024

Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving

Andong Chen, Lianzhang Lou, Kehai Chen +5

Different from the traditional translation tasks, classical Chinese poetry translation requires both adequacy and fluency in translating culturally and historically significant con…