Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
J. Zhou, C. Zhou, X. Wang, P. Li, M. Zhang
KDD-26
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
J. Feng, D. Cai, Y. Chen, M. Zhang
KDD-26 (Oral)
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
KDD-26 Datasets & Benchmarks
Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
L. Kong, X. Wang, Y. Chen, M. Zhang
COLM-26
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention
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
COLM-26
VecMol: Vector-Field Representations for 3D Molecule Generation
Y. Hua, X. Peng, J. Ma, M. Zhang
ICML-26
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
Y. Hu, J. Gu, R. Wang, Z. Yao, H. Peng, X. Wu, J. Chen, M. Zhang, L. Pan
ACL-26
SubTokenTest: A Practical Benchmark for Real-World Sub-token Understanding
S. Hou, Y. Hu, M. Zhang
ACL-26
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
Y. Liu, X. Wang, Y. Mao, Y. Gelberg, H. Maron, M. Zhang
ICML-26
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
Y. Wang, J. You, C. Shi, M. Zhang
ICML-26
Position: How can Graphs Help Large Language Models?
X. Wang, Y. Hu, Y. Wang, C. Shi, M. Zhang
FCS
LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
Y. Mao, Y. Xu, J. Li, F. Meng, H. Yang, Z. Zheng, X. Wang, M. Zhang
ICML-26
Law in Silico: Simulating Legal Society with LLM-Based Agents
Y. Wang, Y. Chen, F. Meng, X. Chen, X. Yang, M. Zhang
ACL-26 Findings
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
P. Tang, Y. Wang, M. Zhang
ACL-26 (Oral)
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
ACL-26
Expressive Graph Neural Networks via Equivariant Use of Noise
X. Wang, M. Zhang
ICML-26 (Spotlight)
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
ICML-26
Unified Modeling of 3D Molecular Generation via Atomic Interactions with PocketXMol
X. Peng, R. Guo, F. Guo, Z. Wang, J. Sun, J. Guan, Y. Jia, Y. Xu, Y. Huang, M. Zhang, J. Peng, X. Wang, C. Han, Z. Wang, J. Ma
Cell-26
TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference
X. Tang, F. Meng, P. Tang, Y. Wang, D. Yin, X. Sun, M. Zhang
ASPLOS-26
FLORA: GNNs as Predictors of Agentic Workflow Performances
Y. Zhang, Y. Hou, B. Tang, S. Chen, M. Zhang, X. Dong, S. Chen
LoG-25
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
X. Zhang, Y. Wang, X. Wang, M. Zhang
LoG-25 (Oral)
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
F. Meng, P. Tang, Z. Yao, X. Sun, M. Zhang
NeurIPS-25
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
S. Qiu, S. Guo, Z. Song, .et el, M. Zhang, H. X. Zhu
NeurIPS-25-Benchmark
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
J. Wang, X. Wang, M. Zhang
NeurIPS-25
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
Y. Li, F. Meng, M. Zhang, S. Zhu, S. Wang, M. Xu
NeurIPS-25
LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
Z. He, Y. Wang, J. Li, K. Liang, M. Zhang
NeurIPS-25-Benchmark
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
Y. Hu, S. Kang, H. Yang, H. Xu, M. Zhang
NeurIPS-25
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
Y. Wang, F. Meng, X. Zhang, F. Jiang, P. Tang, M. Zhang
EMNLP-25
Reconsidering the Performance of GAE in Link Prediction
W. Ma, Y. Wang, X. Wang, M. Zhang
CIKM-25
Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy
Q. Tao, X. Wang, M. Zhang, S. Hu, W. Yu, J. Zhou
FCS
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Y. Wang, X. Wang, Q. Gan, M. Wang, Q. Yang, D. Wipf, M. Zhang
ICML-25
Geometric Representation Condition Improves Equivariant Molecule Generation
Z. Li, C. Zhou, X. Wang, X. Peng, M. Zhang
ICML-25 (Spotlight)
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning
F. Meng, P. Tang, F. Jiang, M. Zhang
ICML-25
3D-SubG: A 3D Stacked Hybrid Processing Near/In-Memory Accelerator for Subgraph GNNs
G. Li, R. Xu, R. Xu, Y. Qiu, R. Tuerhong, M. Zhang, L. Ye, Y. Ma
DAC-25
Parameter-Efficient and Stable Singular Value Adaptation for Pre-Trained Models
F. Meng, M. Zhang
ICLR-25 Blogpost
On the Completeness of Invariant Geometric Deep Learning Models
Z. Li, X. Wang, S. Kang, M. Zhang
ICLR-25
Number Cookbook: Number Understanding of Language Models and How to Improve It
H. Yang, Y. Hu, S. Kang, Z. Lin, M. Zhang
ICLR-25
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
L. Kong, J. Feng, H. Liu, C. Huang, J. Huang, Y. Chen, M. Zhang
ICLR-25
VACT: A Video Automatic Causal Testing System and a Benchmark
H. Yang, Q. Zheng, Y. Gao, Y. Yang, Y. He, Z. Lin, M. Zhang
SCSL@ICLR-25
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
X. Wang, P. Li, M. Zhang
JMLR-25