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From the 1 of 38 linked papers with an AI index.

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20242026
most citedSmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization

1 citations · 1 across the 14 of their papers we have counts for

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cs.CL2026

Towards Cross-lingual Values Judgment: A Consensus-Pluralism Perspective

Yukun Chen, Xinyu Zhang, Boyi Deng +6

As large language models (LLMs) are employed worldwide, existing evaluation paradigms for their multilingual capabilities primarily focus on factual task performance, neglecting th…

cs.CL2026

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets

Yuchen Yang, Wenze Lin, Enhao Huang +6

Large Language Models (LLMs) have seen remarkable advancements, achieving state-of-the-art results in diverse applications. Fine-tuning, an important step for adapting LLMs to spec…

cs.CL2026

HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness Assessment

Langqi Yang, Tianhang Zheng, Yixuan Chen +6

The potential of large language models (LLMs) to generate harmful content poses a significant safety risk for data management, as LLMs are increasingly being used as engines for da…

cs.CL2025

ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models

Jianxin Yan, Wangze Ni, Lei Chen +4

Semantic caching significantly reduces computational costs and improves efficiency by storing and reusing large language model (LLM) responses. However, existing systems rely prima…

cs.CL2024

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

Lei Liu, Xiaoyan Yang, Junchi Lei +6

With the advent of Large Language Models (LLMs), medical artificial intelligence (AI) has experienced substantial technological progress and paradigm shifts, highlighting the poten…

cs.CL2024

A Causal Explainable Guardrails for Large Language Models

Zhixuan Chu, Yan Wang, Longfei Li +3

Large Language Models (LLMs) have shown impressive performance in natural language tasks, but their outputs can exhibit undesirable attributes or biases. Existing methods for steer…