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20242026
most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 18 across the 12 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.LG2026

Diffusion Language Models for Perplexity-Aware Black-Box Attacks

Ali Al-Lawati, Elsayed Eshra, Dongwon Lee +1

\emph{Continuous-space} attacks find prompts that trigger malicious behaviors, such as overthinking, in black-box LLMs by sampling or optimizing over a low-dimensional Gaussian lat…

cs.LG2026

Quantifying Behavioral Tails in Black-Box Language Models

Elsayed Eshra, Ali Al-Lawati, Dongwon Lee +1

We introduce RareTrap, a framework for estimating the probability of severe behaviors in black box large language models (LLMs). A key challenge for probability estimation is defin…

cs.CR2026

PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement

Xianren Zhang, Delvin Ce Zhang, Dongwon Lee +1

Multimodal Large Language Models (MLLMs) have shown strong capabilities, but they may memorize private information from web data, raising privacy concerns. Machine unlearning offer…

cs.SE2026

When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems

Su Wang, Pin Qian, Yihang Chen +6

LLM agents increasingly rely on community-contributed skills that expand an agent's operational capability set. We study a core safety problem in agentic AI systems: whether indivi…

cs.AI2026

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents

Minhua Lin, Juncheng Wu, Zijun Wang +14

LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing…

cs.AI2026

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue

Ali Al-Lawati, Nafis Tripto, Abolfazl Ansari +3

The emergence of multi-agent systems introduces novel moderation challenges that extend beyond content filtering. Agents with malicious intent may contribute harmful content that a…

cs.SE2026

GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning

Fali Wang, Chenglin Weng, Xianren Zhang +3

The growing demand for automated graph algorithm reasoning has attracted increasing attention in the large language model (LLM) community. Recent LLM-based graph reasoning methods…

cs.AI2026

Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems

Shuhua Yang, Jiahao Zhang, Yilong Wang +2

Graph-based retrieval-augmented generation (GraphRAG) systems construct knowledge graphs over document collections to support multi-hop reasoning. While prior work shows that Graph…