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

collaborators

5 papers

hep-ex2026

Search for soft unclustered energy patterns produced in association with a W or Z boson in proton-proton collisions at = 13 TeV

CMS Collaboration

The CMS experiment searches for Higgs bosons produced with a W or Z boson that decay into soft unclustered energy patterns (SUEP) using 138 fb⁻¹ of 13 TeV proton‑proton data, finds…

cs.AI2026

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models

Yichen Guo, Kai Tang, Fenglai Lin +5

Despite the impressive capabilities of Large Vision-Language Models (LVLMs), they remain susceptible to hallucination, generating content inconsistent with the input image. Recent…

cs.AI2026

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference

Tinghao Wang, Yichen Guo, Rui Huang +11

Multimodal large language models (MLLMs) have achieved strong multimodal reasoning capabilities, but their efficiency is limited by the large number of visual tokens, which introdu…

cs.RO2026

FORCE: Efficient VLA Reinforcement Fine-Tuning via Value-Calibrated Warm-up and Self-Distillation

Shuyi Zhang, Yunfan Lou, Hongyang Cheng +8

Vision-Language-Action (VLA) models are often constrained by the imitation ceiling imposed by sub-optimal data. While Reinforcement Learning (RL) fine-tuning can surpass this limit…

cs.RO2026

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model

Kai Tang, Peidong Jia, Zhong Chu +15

Safe control is a prerequisite for real-world embodied intelligence, for which safe reinforcement learning has emerged as a promising paradigm. However, existing safe reinforcement…