activity
20192026
most citedNetwork of Tensor Time Series

28 citations · 81 across the 35 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.LG2026

Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families

Abdulrahman Alabdulkareem, Irene Tenison, Yang Zhang +3

LLM multi-agent systems split work across agents that communicate through text. An agent summarizes its findings, another agent receives the text. This constrains communication to…

cs.LG2026

VisAudit: Evaluating Multimodal Agents for Visual Diagnosis and Repair

Shicheng Liu, Adam Kahirov, Qi Zhang +5

Multimodal agents are increasingly used for data visualization tasks but remain limited in autonomous review. Unlike humans, they may fail to recognize when a visualization is inco…

cs.CR2026

SafeDream: Safety World Model for Proactive Early Jailbreak Detection

Bo Yan, Weikai Lin, Yada Zhu +1

Multi-turn jailbreak attacks progressively erode LLM safety alignment across seemingly innocuous conversation turns, achieving success rates exceeding 90% against state-of-the-art…

cs.AI2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains

Xuying Ning, Dongqi Fu, Tianxin Wei +7

With the increasing demand for step-wise, cross-modal, and knowledge-grounded reasoning, multimodal large language models (MLLMs) are evolving beyond the traditional fixed retrieve…

cs.LG2026

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge

Junhong Lin, Bing Zhang, Song Wang +4

Large language models (LLMs) continue to struggle with knowledge-intensive questions that require up-to-date information and multi-hop reasoning. Augmenting LLMs with hybrid extern…

cs.CL2026

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents

Yuanchen Bei, Tianxin Wei, Xuying Ning +7

Long-term memory is a critical capability for multimodal large language model (MLLM) agents, particularly in conversational settings where information accumulates and evolves over…