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From the 1 of 13 linked papers with an AI index.

collaborators

13 papers

cs.AI2026

ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability

Weiting Liu, Jieyi Bi, Wanqi Zhou +4

The paper introduces ToolAnchor, a method that injects counterfactual contexts to help large language model agents overcome reliance on familiar tools and adapt to new toolsets wit…

cs.CL2026

PRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon Agents

Jingyi Peng, Zhongwei Wan, Weiting Liu +1

Long-horizon language agents accumulate conversation history far faster than any fixed context window can hold, making memory management critical to both answer accuracy and servin…

cs.CV2026

Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding

Lina Zhang, Tonmoy Monsoor, Peizheng Li +23

While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporal…

cs.LG2026

CirrusBench: Evaluating LLM-based Agents Beyond Correctness in Real-World Cloud Service Environments

Yi Yu, Guangquan Hu, Chenghuang Shen +15

The increasing agentic capabilities of Large Language Models (LLMs) have enabled their deployment in real-world applications, such as cloud services, where customer-assistant inter…

cs.CV2026

AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents

Yibo Shi, Jungang Li, Linghao Zhang +25

Long-horizon GUI agents are a key step toward real-world deployment, yet effective interaction memory under prevailing paradigms remains under-explored. Replaying full interaction…

cs.LG2026

Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction

Yi Yu, Junzhuo Ma, Chenghuang Shen +15

Adapting Large Language Models in complex technical service domains is constrained by the absence of explicit cognitive chains in human demonstrations and the inherent ambiguity ar…