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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CR2026

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers

Songyang Liu, Chaozhuo Li, Chenxu Wang +8

OpenClaw has rapidly established itself as a leading open-source autonomous agent runtime, offering powerful capabilities including tool integration, local file access, and shell c…

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.CR2025

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs

Rui Pu, Chaozhuo Li, Rui Ha +5

Jailbreak attack can be used to access the vulnerabilities of Large Language Models (LLMs) by inducing LLMs to generate the harmful content. And the most common method of the attac…

cs.AI2025

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification

Liwen Zheng, Chaozhuo Li, Zheng Liu +4

Fact verification plays a vital role in combating misinformation by assessing the veracity of claims through evidence retrieval and reasoning. However, traditional methods struggle…

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…

q-bio.QM2025

Large Language Models for Bioinformatics

Wei Ruan, Yanjun Lyu, Jing Zhang +52

With the rapid advancements in large language model (LLM) technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehens…