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20242026
most citedEnhance Image Classification via Inter-Class Image Mixup with Diffusion Model

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Diagnosing JEPA World Models with Action-Conditioned Predictive Consistency

Guo An, Zijing Wu, Honghua Dong +7

Joint-embedding predictive architectures (JEPAs) learn world models that predict in a compact latent space rather than in pixels, reducing the pressure to model nuisance appearance…

cs.LG2026

Experience Augmented Policy Optimization for LLM Reasoning

Jinda Lu, Kexin Huang, Junkang Wu +7

Reinforcement Learning with Verifiable Rewards (RLVR) is a powerful paradigm for improving the reasoning capabilities of large language models (LLMs). However, existing RLVR method…

cs.LG2026

ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples

Kexin Huang, Junkang Wu, Jinda Lu +7

Reinforcement learning (RL) has significantly enhanced the reasoning capabilities of large language models (LLMs), yet the training process remains notoriously fragile. In this wor…

cs.CV2026

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs

Jinda Lu, Junkang Wu, Jinghan Li +6

Extending Reinforcement Learning with Verifiable Rewards (RLVR) to multimodal large language models (MLLMs) faces a fundamental challenge: their responses inherently interleave per…

cs.CV2026

How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation

Haoyu Chen, Qing Liu, Yuqian Zhou +7

Unified multimodal models hold the promise of generating extensive, interleaved narratives, weaving text and imagery into coherent long-form stories. However, current systems suffe…

cs.AI2025

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention

Zhe Xu, Zhicai Wang, Junkang Wu +2

Large Vision-Language Models (LVLMs) often suffer from object hallucination, making erroneous judgments about the presence of objects in images. We propose this primar- ily stems f…

cs.CV2024★ 1 cited

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model

Zhicai Wang, Longhui Wei, Tan Wang +5

Text-to-image (T2I) generative models have recently emerged as a powerful tool, enabling the creation of photo-realistic images and giving rise to a multitude of applications. Howe…