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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CR2026

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness

Jiahao Huo, Wenjie Qu, Yibo Yan +5

The paper introduces SAMark, a text watermarking method that remains detectable even after paragraph‑level paraphrasing by removing reliance on sentence order and using a hyperboli…

cs.CL2026

FinHarness: An Inline Lifecycle Safety Harness for Finance LLM Agents

Haoxuan Jia, Yang Liu, Bin Chong +10

Finance LLM agents must simultaneously block prompt-induced unauthorized actions and approve legitimate multi-step business workflows. However, boundary filters often miss irrevers…

cs.CL2026

ExTax: Explainable Disinformation Detection via Persuasion, Emotion, and Narrative Role Taxonomies

Shang Luo, Yingguang Yang, Zhenchen Sun +8

The democratization of LLMs has accelerated the generation and circulation of highly fluent disinformation, making traditional syntax-semantic verification increasingly insufficien…

cs.CL2026

Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations

Shanghao Li, Jinda Han, Yibo Wang +5

In many reasoning tasks, large language models (LLMs) rely on structured external knowledge, such as graphs and tables, which is typically linearized into sequential token represen…

cs.SE2026

MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms

Yibo Wang, Congying Xia, Wenting Zhao +5

Unit test generation has become a promising and important Large Language Model (LLM) use case. However, existing evaluation benchmarks for LLM unit test generation focus on functio…

cs.CL2025

Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment

Shanghao Li, Jinda Han, Yibo Wang +5

Graph-based Retrieval-Augmented Generation (GraphRAG) enhances Large Language Models (LLMs) by incorporating external knowledge from linearized subgraphs retrieved from knowledge g…