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20232026
most citedQADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering

1 citations · 5 across the 24 of their papers we have counts for

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cs.AI2026

RadixFlow: Filling Execution Bubbles in Prefix-Cached Hybrid LLM Serving

Huihao Jing, Wenbin Hu, Shaojin Chen +6

Prefix reuse improves LLM inference by sharing the KV cache of common prompt prefixes. This helps only if the scheduler can execute a matched branch in the current worker round. Sc…

cs.AI2026

Same Operation, Different Permission: Evaluating Whether Guardrails Honor Authorization

Huihao Jing, Shaojin Chen, Wenbin Hu +5

As language-model agents write code, move money and change records on behalf of users, deciding whether an action is authorized has become a central safety problem. Guardrails are…

cs.AI2026

SkillHorizon: Constructing Long-Horizon Agent Tasks through Skill Composition

Yuxuan Liu, Zhaochen Su, Hangyu Guo +11

Long-horizon agents must complete workflows in which later activities depend on earlier outputs and changes to shared state. A key challenge for evaluation is to expand task requir…

cs.AI2026

MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning

Kawai Chung, Chunkit Chan, Yauwai Yim +12

Multimodal Large Language Models have sparked significant interest due to their potential for social intelligence; however, their ability to perform sequential motivation reasoning…

cs.AI2026

Isolation as a First-Class Principle for LLM-Agent System Safety: Concepts, Taxonomy, Challenges and Future Directions

Huihao Jing, Wenbin Hu, Shaojin Chen +10

The capability of LLM agents to function as the ``brain'' of a system fundamentally expands the scope of analysis beyond a standalone model. Consequently, safety is no longer only…