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20242026
most citedThe Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2026

Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability

Zejian Chen, Zhanyuan Liu, Chaozhuo Li +6

Computer-use agents(CUAs)are moving frombounded benchmarks toward real software environments, wherethey operate browsers, desktops, mobile applications, flesystems,terminals, and t…

cs.CL20261 cited

The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies

Chenxu Wang, Chaozhuo Li, Songyang Liu +10

The emergence of multi-agent systems built from large language models (LLMs) offers a promising paradigm for scalable collective intelligence and self-evolution. Ideally, such syst…

cs.CL2025

One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs

Pengbo Wang, Chaozhuo Li, Chenxu Wang +3

LLMs have demonstrated unprecedented capabilities in natural language processing, yet their practical deployment remains hindered by persistent factuality and faithfulness hallucin…

cs.CL2025

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs

Songyang Liu, Chaozhuo Li, Jiameng Qiu +5

With the rapid advancement of artificial intelligence, Large Language Models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), including content gener…

cs.CL2025

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models

Chaozhuo Li, Pengbo Wang, Chenxu Wang +7

Edgar Allan Poe noted, "Truth often lurks in the shadow of error," highlighting the deep complexity intrinsic to the interplay between truth and falsehood, notably under conditions…

cs.CL2024

Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy

Xiaohan Fang, Chaozhuo Li, Yi Zhao +5

Knowledge Graph Alignment (KGA) aims to integrate knowledge from multiple sources to address the limitations of individual Knowledge Graphs (KGs) in terms of coverage and depth. Ho…