activity
20222026
most citedGenerating CAD Code with Vision-Language Models for 3D Designs

3 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.CL2026

Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User Intent

Zheyuan Zhang, Mengyuan Chao, Ke Xiao +5

Modern LLM agents increasingly tackle complex tasks through interactive, long-horizon exchanges with users, while existing benchmarks generally assume that users always accurately…

cs.CV2026

Complementary Retrieval-Augmented Prompting for Consistent Long-Form Video Generation

Xianghan Wei, Xiaoda Yang, Zhi Wang +7

While recent video foundation models excel at generating high-quality short videos, long-form video generation remains a critical challenge, where a major bottleneck lies in condit…

cs.AI2026

TraceDance: An Automated System for Building Agent Behavior Benchmarks from Real-World Agent Deployment Traces

Dehai Min, Daoan Zhang, Yiming Zeng +13

An agent can complete a task while exhibiting undesirable behavior during execution. Developers need tests for the specific behaviors encountered in deployment, beyond fixed benchm…

cs.LG2026

Distillation as Probability Transport: Routed On-Policy Distillation

Tianle Xia, Lingxiang Hu, Yiding Sun +6

On-policy distillation (OPD) transfers teacher knowledge on student-generated trajectories, but efficient sampled objectives reduce the teacher distribution to scalar credit on ind…

cs.CV2026

How Far Are Video Models from True Multimodal Reasoning?

Xiaotian Zhang, Jianhui Wei, Yuan Wang +9

Despite remarkable progress toward general-purpose video models, a critical question remains unanswered: how far are these models from achieving true multimodal reasoning? Existing…

cs.CL2026

GraSP: Graph-Structured Skill Compositions for LLM Agents

Tianle Xia, Lingxiang Hu, Yiding Sun +5

Skill ecosystems for LLM agents have matured rapidly, yet recent benchmarks show that providing agents with more skills does not monotonically improve performance -- focused sets o…