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20242026
most citedLarge-Scale OD Matrix Estimation with A Deep Learning Method

3 citations · 4 across the 19 of their papers we have counts for

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cs.AI20263 cited

Large-Scale OD Matrix Estimation with A Deep Learning Method

Zheli Xiong, Defu Lian, Enhong Chen +2

The estimation of origin-destination (OD) matrices is a crucial aspect of Intelligent Transport Systems (ITS). It involves adjusting an initial OD matrix by regressing the current…

cs.AI2026

Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration

Hang Lv, Hongchao Gu, Ruiqing Yang +5

Generative listwise reranking leverages global context for superior retrieval but is plagued by intrinsic position bias, where models exhibit structural sensitivity to input order…

cs.AI2026

SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility

Xuyang Zhi, Peilun zhou, Chengqiang Lu +10

The evolution of Large Language Models (LLMs) is shifting the focus from single, verifiable tasks toward complex, open-ended real-world scenarios, imposing significant challenges o…

cs.AI2026

Generative Data Transformation: From Mixed to Unified Data

Jiaqing Zhang, Mingjia Yin, Hao Wang +6

Recommendation model performance is intrinsically tied to the quality, volume, and relevance of their training data. To address common challenges like data sparsity and cold start,…

cs.AI2026

Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance

Wei Yang, Hong Xie, Tao Tan +3

While open sourced Vision-Language Models (VLMs) have proliferated, selecting the optimal pretrained model for a specific downstream task remains challenging. Exhaustive evaluation…

cs.AI2025

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Runquan Gui, Zhihai Wang, Jie Wang +7

Recent advancements have significantly enhanced the performance of large language models (LLMs) in tackling complex reasoning tasks, achieving notable success in domains like mathe…