most citedVisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

ThinkGen: Generalized Thinking for Visual Generation

Siyu Jiao, Yiheng Lin, Yujie Zhong +9

Recent progress in Multimodal Large Language Models (MLLMs) demonstrates that Chain-of-Thought (CoT) reasoning enables systematic solutions to complex understanding tasks. However,…

cs.CV2025

SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding

Nianbo Zeng, Haowen Hou, Fei Richard Yu +2

Despite recent advances in retrieval-augmented generation (RAG) for video understanding, effectively understanding long-form video content remains underexplored due to the vast sca…

cs.CL2025

RWKV-X: A Linear Complexity Hybrid Language Model

Haowen Hou, Zhiyi Huang, Kaifeng Tan +2

In this paper, we introduce RWKV-X, a novel hybrid architecture that combines the efficiency of RWKV for short-range modeling with a sparse attention mechanism designed to capture…

cs.CL2024

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression

Haowen Hou, Fei Ma, Binwen Bai +2

Large Language Models (LLMs) have garnered widespread attention due to their remarkable performance across various tasks. However, to mitigate the issue of hallucinations, LLMs oft…

cs.CV2024★ 2 cited

VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models

Haowen Hou, Peigen Zeng, Fei Ma +1

Visual Language Models (VLMs) have rapidly progressed with the recent success of large language models. However, there have been few attempts to incorporate efficient linear Recurr…