activity
20242026
most citedGrounded SAM: Assembling Open-World Models for Diverse Visual Tasks

93 citations · 94 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

RoboTidy : A 3D Gaussian Splatting Household Tidying Benchmark for Embodied Navigation and Action

Xiaoquan Sun, Ruijian Zhang, Kang Pang +5

Household tidying is an important application area, yet current benchmarks neither model user preferences nor support mobility, and they generalize poorly, making it hard to compre…

cs.AI2025

VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data

Tingqiao Xu, Ziru Zeng, Jiayu Chen

The quality of supervised fine-tuning (SFT) data is crucial for the performance of large multimodal models (LMMs), yet current data enhancement methods often suffer from factual er…

cs.CL2025

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

Shuang Chen, Yue Guo, Yimeng Ye +7

Recent advances in multimodal large reasoning models (MLRMs) have substantially improved their ability to solve complex textual and visual tasks. However, these models tend to over…

cs.DB2025

Access Paths for Efficient Ordering with Large Language Models

Fuheng Zhao, Jiayue Chen, Yiming Pan +7

In this work, we present the \texttt{LLM ORDER BY} semantic operator as a logical abstraction and conduct a systematic study of its physical implementations. First, we propose seve…

cs.LG2025

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Shuang Chen, Yue Guo, Zhaochen Su +7

Inspired by the remarkable reasoning capabilities of Deepseek-R1 in complex textual tasks, many works attempt to incentivize similar capabilities in Multimodal Large Language Model…