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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control

Haoze Liu, Run Liu, Haiying Xu +6

Large language models (LLMs) increasingly act in interactive settings where their behavioral styles affect user experience, safety, and downstream decision making. Existing LLM per…

cs.AI2026

SkillEval: Decomposing Agent Skill Quality into Interpretable Signals

Jiahui Han, Qinuo Li, Ziheng Peng +6

Agent skills provide reusable procedural knowledge that helps agents solve specialized tasks. As their use expands, evaluating skill quality becomes increasingly important. Existin…

cs.CV2026

See2Think: Do Multimodal Models Really Use Intermediate Visual States?

Siyu Yan, Zhuoran Yan, Haiying Xu +10

The paper presents See2Think, an evaluation framework and benchmark for testing whether multimodal large language models actually use intermediate visual states during reasoning, a…

cs.CV2026

Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction-Reasoning Synergy

Haijier Chen, Bo Xu, Shoujian Zhang +3

Recent developments in Multimodal Large Language Models (MLLMs) have significantly improved Vision-Language (VL) reasoning in 2D domains. However, extending these capabilities to 3…

cs.RO2025

3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting

Haitao Lu, Haijier Chen, Haoze Liu +3

In autonomous robotic systems, precise localization is a prerequisite for safe navigation. However, in complex urban environments, GNSS positioning often suffers from signal occlus…