Paper-Conference

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization

J. Wang, L. Chen, X. Wang, S. Kang, H. Yang, D. Zheng, M. Zhang

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models

J. Feng, D. Cai, Y. Chen, M. Zhang

Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors

J. Zhou, C. Zhou, X. Wang, P. Li, M. Zhang

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

Token-level sparse attention mechanisms, exemplified by DeepSeek Sparse Attention (DSA), achieve fine-grained key selection by scoring …

Y. Xu, F. Meng, F. Jiang, Y. Wang, R. Zhou, Z. Wang, J. Wu, Z. Pan, X. Tang, W. Pei, T. Liu, D. Yin, X. Sun, M. Zhang

Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs

Large Language Models (LLMs) are emerging as versatile foundation models for computational chemistry, handling bidirectional tasks like …

L. Kong, X. Wang, Y. Chen, M. Zhang

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

C. Zhou, C. Yang, Y. Hu, C. Wang, C. Zhang, M. Zhang, L. Mackey, T. Jaakkola, S. Bates, D. Zhang

Expressive Graph Neural Networks via Equivariant Use of Noise

X. Wang, M. Zhang

JurisBench: A Deep Benchmark for Assessing Large Language Models in Professional Legal Practice

Z. Chen, G. Li, F. Ji, Y. Kang, J. Li, M. Zhang, Y. Zhang, T. Li, J. Wang, X. Guo, S.-C. Zhu, B. Ling

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation

P. Tang, Y. Wang, M. Zhang

Law in Silico: Simulating Legal Society with LLM-Based Agents

Y. Wang, Y. Chen, F. Meng, X. Chen, X. Yang, M. Zhang