8 papers
MLGIB: Multi-Label Graph Information Bottleneck for Expressive and Robust Message Passing
Chaokai Wu, Haofu Shi, Ningxuan Ma +2
Graph Neural Networks (GNNs) suffer from over-squashing in deep message passing, where information from exponentially growing neighborhoods is compressed into fixed-dimensional rep…
GRACE: Gradient-aligned Reasoning Data Curation for Efficient Post-training
Junjie Li, Ziao Wang, NingXuan Ma +2
Existing reasoning data curation pipelines score whole samples, treating every intermediate step as equally valuable. In reality, steps within a trace contribute very unevenly, and…
expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling
Mingxiong Lin, Zhangquan Gong, Maowen Tang +6
Reinforcement Learning with Verifiable Rewards (RLVR) has become the standard paradigm for LLM mathematical reasoning, where Group Relative Policy Optimization (GRPO) serves as the…
fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum
Mingxiong Lin, Zhangquan Gong, Maowen Tang +6
Reinforcement Learning with Verifiable Rewards (RLVR) has become the standard paradigm for LLM mathematical reasoning, with Group Relative Policy Optimization (GRPO) serving as the…
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
Jingmao Zhang, Zhiting Zhao, Yunqi Lin +4
Beyond user-item modeling, item-to-item relationships are increasingly used to enhance recommendation. However, common methods largely rely on co-occurrence, making them prone to i…
Uncovering Intrinsic Capabilities: A Paradigm for Data Curation in Vision-Language Models
Junjie Li, Ziao Wang, Jianghong Ma +1
Large vision-language models (VLMs) achieve strong benchmark performance, but controlling their behavior through instruction tuning remains difficult. Reducing the budget of instru…
Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
Jingmao Zhang, Zhiting Zhao, Yunqi Lin +4
The explosive growth of the video game industry has created an urgent need for recommendation systems that can scale with expanding catalogs and maintain user engagement. While pri…
GiVE: Guiding Visual Encoder to Perceive Overlooked Information
Junjie Li, Jianghong Ma, Xiaofeng Zhang +2
Multimodal Large Language Models have advanced AI in applications like text-to-video generation and visual question answering. These models rely on visual encoders to convert non-t…