activity
20232026
most citedVisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

6 citations · 12 across the 47 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

HippoSpark: An On-Demand Experience System for LLM Reasoning

Jingyao Liu, Danling Meng, Chen Huang +5

Distilling historical trajectories into reusable experience to enhance future problem-solving has become a focal point of recent LLM research. However, existing methods predominant…

cs.AI2026

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules

Yuxuan Chen, Changwei Lv, Yunduo Xiao +5

Large Language Models (LLMs) are central to the one-for-all intelligent paradigm, but they face a fundamental challenge when dealing with heterogeneous scientific data such as mole…

cs.AI2026

AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research

Yishan Li, Wentong Chen, Yukun Yan +12

Generating deep research reports requires large-scale information acquisition and the synthesis of insight-driven analysis, posing a significant challenge for current language mode…

cs.AI20261 cited

AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents

Haotian Chen, Xin Cong, Shengda Fan +16

While Large Language Model (LLM)-based agents have shown remarkable potential for solving complex tasks, existing systems remain heavily reliant on large-scale models, leaving the…

cs.AI2026

Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains

Yuqi Xiong, Chunyi Peng, Zhipeng Xu +6

Visual Retrieval-Augmented Generation (VRAG) enhances Vision-Language Models (VLMs) by incorporating external visual documents to address a given query. Existing VRAG frameworks us…

cs.AI2025

Empirical Analysis of Decoding Biases in Masked Diffusion Models

Pengcheng Huang, Tianming Liu, Zhenghao Liu +5

Masked diffusion models (MDMs), which leverage bidirectional attention and a denoising process, are narrowing the performance gap with autoregressive models (ARMs). However, their…