collaborators

8 papers

cs.SE2026

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers

Qianli Ma, Jipeng Xiao, Siyu Wang +7

Transforming static research papers into dynamic media such as posters, slides, and videos is essential for effective dissemination but remains a labor-intensive challenge. Existin…

cs.CL2026

Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression

Shuochen Chang, Qingyang Liu, Shaobo Wang +8

Large language models achieve high reasoning performance via explicit chain-of-thought and reinforcement learning, but require long output sequences and extended inference time. La…

cs.CL2026

Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

Shuochen Chang, Tong Bai, Xiaofeng Zhang +5

Latent reasoning enables Large Language Models (LLMs) to perform multi-step inference within continuous hidden states, offering efficiency gains over explicit Chain-of-Thought (CoT…

cs.CV2026

Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners

Qingyang Liu, Bingjie Gao, Canmiao Fu +9

Recent unified models integrate multimodal understanding and generation within a single framework. However, an "understanding-generation gap" persists, where models can capture use…

cs.CV2026

Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual Evidence

Yuhan Wang, Shuochen Chang, Yalin Feng +8

Vision-language models (VLMs) have achieved strong performance on visual question answering (VQA). To mitigate individual hallucinations and blind spots, aggregating diverse perspe…

cs.CV2026

Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective

Qiyan Zhao, Xiaofeng Zhang, Shuochen Chang +7

Recent diffusion-based Multimodal Large Language Models (dMLLMs) suffer from high inference latency and therefore rely on caching techniques to accelerate decoding. However, the ap…