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20232026
most citedHC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus

7 citations · 11 across the 19 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CR2025

Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation

Yuxuan Qiao, Dongqin Liu, Hongchang Yang +2

LLM agents can combine individually non-revealing tool returns and disclose a sensitive conclusion, creating Tools Orchestration Privacy Risk (TOP-R). We formalize TOP-R through th…

cs.SI2025

Structure-aware Propagation Generation with Large Language Models for Fake News Detection

Mengyang Chen, Lingwei Wei, Wei Zhou +1

The spread of fake news on social media poses a serious threat to public trust and societal stability. While propagation-based methods improve fake news detection by modeling how i…

cs.SI2025★ 1 cited

MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation

Congyuan Zhao, Lingwei Wei, Ziming Qin +3

Fake news spreads widely on social media, leading to numerous negative effects. Most existing detection algorithms focus on analyzing news content and social context to detect fake…

cs.CL2025

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models

Han Cao, Lingwei Wei, Wei Zhou +1

The rapid development of social platforms exacerbates the dissemination of misinformation, which stimulates the research in fact verification. Recent studies tend to leverage seman…

cs.CL2025

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding

Dou Hu, Lingwei Wei, Wei Zhou +1

This paper proposes a new principled multi-task representation learning framework (InfoMTL) to extract noise-invariant sufficient representations for all tasks. It ensures sufficie…

cs.CL2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs

Minxuan Lv, Zhenpeng Su, Leiyu Pan +10

As large language models continue to scale, computational costs and resource consumption have emerged as significant challenges. While existing sparsification methods like pruning…