Papers
CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning
Shun Qian, Bingquan Liu, Chengjie Sun et al.
Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks
Hao Qian, Shikui Tu, Lei Xu
Next Generation Active Learning: Mixture of LLMs in the Loop
Yuanyuan Qi, Xiaohao Yang, Jueqing Lu et al.
Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning
Xiuxiu Qi, Yu Yang, Jiannong Cao et al.
Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View
Jianyu Qi, Ding Zou, Wenrui Yan et al.
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
Tianle Pu, Jianing Li, Yingying Gao et al.
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives
Hongshan Pu, Haoxu Zhang, Ye Liu et al.
Learning Fair Representations with Kolmogorov-Arnold Networks
Amisha Priyadarshini, Sergio Gago-Masague
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
Manhin Poon, Xiangxiang Dai, Xutong Liu et al.
On Stealing Graph Neural Network Models
Marcin Podhajski, Jan Dubiński, Franziska Boenisch et al.
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
Alberto Pirillo, Luca Colombo
A Novel Sliced Fused Gromov-Wasserstein Distance
Moritz Piening, Robert Beinert
Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack
Xingyu Peng, Ke Xu
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
Likang Peng, Chao Su, Wenyuan Wu et al.
What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment
Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
Sumin Park, Noseong Park
ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization
Jungwuk Park, Dong-Jun Han, Jaekyun Moon
Fair Model-based Clustering
Jinwon Park, Kunwoong Kim, Jihu Lee et al.
Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
Jihwan Park, Taehoon Song, Sanghyeok Lee et al.
MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention
Yuqi Pang, Bowen Yang, Yun Cao et al.
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data
Yiran Pang, Zhen Ni, Xiangnan Zhong
Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation
Deepak Pandita, Flip Korn, Chris Welty et al.
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
Muthukumar Pandaram, Jakob Hollenstein, David Drexel et al.
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning
Zijie Pan, Zuobin Ying, Yajie Wang et al.
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning
Zhengyuan Pan, Yanhao Chen, Zhongquan Jian et al.