activity
20232026
most citedCellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

7 citations · 12 across the 16 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

Fei Ni, Min Zhang, Pengyi Li +34

Embodied AI development significantly lags behind large foundation models due to three critical challenges: (1) lack of systematic understanding of core capabilities needed for Emb…

cs.RO2025

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Yifu Yuan, Haiqin Cui, Yaoting Huang +7

Generalization in embodied AI is hindered by the "seeing-to-doing gap," which stems from data scarcity and embodiment heterogeneity. To address this, we pioneer "pointing" as a uni…

cs.RO2025

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation

Zibin Dong, Fei Ni, Yifu Yuan +2

We present EmbodiedMAE, a unified 3D multi-modal representation for robot manipulation. Current approaches suffer from significant domain gaps between training datasets and robot m…

cs.RO2025

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Yifu Yuan, Haiqin Cui, Yibin Chen +7

Achieving generalization in robotic manipulation remains a critical challenge, particularly for unseen scenarios and novel tasks. Current Vision-Language-Action (VLA) models, while…

cs.LG2025

DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering

Rong Cheng, Jinyi Liu, Yan Zheng +6

Multi-Hop Question Answering (MHQA) tasks permeate real-world applications, posing challenges in orchestrating multi-step reasoning across diverse knowledge domains. While existing…

cs.CL2025

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models

Jinyi Liu, Yan Zheng, Rong Cheng +8

Recent advances in large language models (LLMs) have shown remarkable progress, yet their capacity for logical ``slow-thinking'' reasoning persists as a critical research frontier.…