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20242026
most citedTowards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security

3 citations · 4 across the 13 of their papers we have counts for

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Showing 2026 · cs.CLShow all

5 papers · 2 filters

cs.CL2026

Think Before You Comfort: Reflective Cognitive Alignment for Protocol-Grounded Elderly Stimulation Agents

Jiyue Jiang, Ziyi Li, He Hu +9

Cognitive Stimulation Therapy (CST) offers non-pharmacological support for elders with cognitive impairment, yet scalability remains constrained by reliance on trained facilitators…

cs.CL2026

Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning

Jinhu Qi, Minda Hu, Wentao Zhang +4

Large language models (LLMs) increasingly handle in-context learning (ICL) tasks where a long, novel context defines the rules, knowledge, and output schema for a series of questio…

cs.CL2026

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning

Jinhu Qi, Wentao Zhang, Siu Man Ng +4

Travel planning is a demanding stress test for tool-using LLM agents: a usable itinerary is a single artifact that must be right along many axes at once - every flight, hotel, and…

cs.CL2026

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI

Jinhu Qi, Yifan Li, Minghao Zhao +4

Agentic AI systems increasingly act through tool-augmented, multi-step workflows whose failures (unsafe tool use, unauthorised actions, social harm) carry deployment-level conseque…

cs.CL2026

TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents

Yanyu Chen, Jiyue Jiang, Jiahong Liu +3

The evaluation of Deep Research Agents is a critical challenge, as conventional outcome-based metrics fail to capture the nuances of their complex reasoning. Current evaluation fac…