collaborators

16 papers

cs.AI2026

MentalThink: Shaping Thoughts in Mental SVG World

Kangheng Lin, Jisheng Yin, Dingming Li +11

We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an executable mechanism for "mental" visualization. The core of MentalThink…

cs.CV2026

PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception

Yana Wei, Hongbo Peng, Yanlin Lai +14

We introduce PerceptionRubrics, a rubric-based evaluation framework that addresses the gap between saturated benchmark scores and real-world brittleness. Shifting evaluation from h…

eess.AS2026

Step-Audio-R1.5 Technical Report

Yuxin Zhang, Xiangyu Tony Zhang, Daijiao Liu +16

Recent advancements in large audio language models have extended Chain-of-Thought (CoT) reasoning into the auditory domain, enabling models to tackle increasingly complex acoustic…

cs.CV2026

SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments

Dinging Li, Yingxiu Zhao, Xinrui Cheng +16

Spatial reasoning over three-dimensional scenes is a core capability for embodied intelligence, yet continuous model improvement remains bottlenecked by the cost of geometric annot…

cs.CL2026

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering

Xiangfeng Wang, Hangyu Guo, Yanlin Lai +11

While model-based verifiers are essential for scaling Reinforcement Learning with Verifiable Rewards (RLVR), current outcome-centric verification paradigms primarily focus on the c…

cs.CL2026

R-Align: Enhancing Generative Reward Models through Rationale-Centric Meta-Judging

Yanlin Lai, Mitt Huang, Hangyu Guo +11

Reinforcement Learning from Human Feedback (RLHF) remains indispensable for aligning large language models (LLMs) in subjective domains. To enhance robustness, recent work shifts t…