collaborators

5 papers

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.LG2026

Bottleneck Tokens for Unified Multimodal Retrieval

Siyu Sun, Jing Ren, Zhaohe Liao +8

Adapting decoder-only multimodal large language models (MLLMs) for unified multimodal retrieval faces two structural gaps. First, existing methods rely on implicit pooling, which o…

cs.CV2026

AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation

Zhaohe Liao, Kaixun Jiang, Zhihang Liu +11

Although image generation has boosted various applications via its rapid evolution, whether the state-of-the-art models are able to produce ready-to-use academic illustrations for…

cs.CV2026

ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement

Zhihang Liu, Xiaoyi Bao, Pandeng Li +7

While existing generation and unified models excel at general image generation, they struggle with tasks requiring deep reasoning, planning, and precise data-to-visual mapping abil…

cs.CV2026

AnimateScene: Camera-controllable Animation in Any Scene

Qingyang Liu, Bingjie Gao, Weiheng Huang +10

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plaus…