TSO: Self-Training with Scaled Preference Optimization

Kaihui Chen, Hao Yi, Qingyang Li +4

Beyond Forced Modality Balance: Intrinsic Information Budgets for Multimodal Learning

Zechang Xiong, Da Li, Kexin Tang +3

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning

Yulan Hu, Sheng Ouyang, Jinman Zhao +1

TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment

Jiaxuan Wang, Xuan Ouyang, Zhiyu Chen +4

No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning

Zhicong Li, Lingjie Jiang, Yulan Hu +7

Towards Comprehensive Preference Data Collection for Reward Modeling

Yulan Hu, Qingyang Li, Sheng Ouyang +6

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

Lulu Zheng, Wenjin Yang, Xiangwen Zhang +4

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin

Hao Yi, Qingyang Li, Yulan Hu +3

Adaptive Spectrum-Aware Feature Disentangled Network for Small Object Detection

Yang Guo, Zihan Yang, Feifei Kou +3

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation

Ge Chen, Yulan Hu, Sheng Ouyang +2

Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method

Yulan Hu, Sheng Ouyang, Jingyu Liu +6

GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning

Xiang Cheng, Yulan Hu, Lulu Zheng +3

Dense Supervision, Sparse Updates: On the Sparsity and Geometry of On-Policy Distillation

Guo Yu, Wenlin Liu, Yulan Hu +3

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models

Hao Yi, Qingyang Li, Yulan Hu +3

Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR

Hao Yi, Yulan Hu, Xin Li +3

Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application

Yulan Hu, Yong Liu

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning

Yulan Hu, Zhirui Yang, Sheng Ouyang +1

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Sheng Ouyang, Yulan Hu, Ge Chen +3

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs

Ziqiao Shang, Lingyue Ge, Ling-Yue Ge +12

VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification

Yulan Hu, Sheng Ouyang, Zhirui Yang +1

Beyond Itinerary Planning-A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks

Xiang Cheng, Yulan Hu, Xiangwen Zhang +5

Exploring Task Unification in Graph Representation Learning via Generative Approach

Yulan Hu, Sheng Ouyang, Zhirui Yang +4

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities

Liangjie Zhao, Jiaqing Lyu, Kexin Tang +5

The paper introduces IllusionReasoning, a benchmark that uses visual illusion images to jointly assess perception and reasoning abilities of large vision‑language models, revealing…

AMAP Agentic Planning Technical Report

AMAP AI Agent Team, Yulan Hu, Xiangwen Zhang +22

GUNDAM: Aligning Large Language Models with Graph Understanding

Sheng Ouyang, Yulan Hu, Ge Chen +1

Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

Jiaxuan Wang, Yulan Hu, Wenjin Yang +3

Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas

Jinman Zhao, Zifan Qian, Linbo Cao +5