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20232026
most citedOptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling

1 citations · 1 across the 14 of their papers we have counts for

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cs.AI2026

LenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning

Xingjian Tao, Yiwei Wang, Yujun Cai +1

Multi-view spatial reasoning requires vision-language models to compare visual evidence across images, align object correspondences, and infer spatial relations over long visual co…

cs.CL2026

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models

Boyan Han, Yiwei Wang, Yi Song +2

Diffusion large language models (dLLMs) offer bidirectional attention and parallel generation, enabling them to exploit global context and naturally support format-constrained task…

cs.CL2026

GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation

Sifan Li, Yujun Cai, Hongkai Chen +1

Generating structured, editable diagrams remains a significant challenge for contemporary large language models, despite their proficiency in general-purpose vector code generation…

cs.LG2026

How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning

Entang Wang, Yiwei Wang, Aleksandra Bakalova +1

In-context learning (ICL) excels at new tasks from minimal examples, yet we still lack a mechanistic explanation of how few-shot prompts shape a model's function vector (FV)--a cau…

cs.CL2026

ViewFusion: Structured Spatial Thinking Chains for Multi-View Reasoning

Xingjian Tao, Yiwei Wang, Yujun Cai +2

Multi-view spatial reasoning remains difficult for current vision-language models. Even when multiple viewpoints are available, models often underutilize cross-view relations and i…

cs.AI2026

Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning

Zhicheng Yang, Zhijiang Guo, Yinya Huang +5

Scaling test-time compute via long Chain-of-Thought unlocks remarkable gains in reasoning capabilities, yet it faces practical limits due to the linear growth of KV cache and quadr…