:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Wenda, Zheng, Tongya, Liu, Shunyu, Wang, Yu, Chen, Kaixuan, Yuan, Hanyang, Hu, Bingde, Ren, Zujie, Song, Mingli, Chen, Gang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.17923
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation
by: Li, Wenda, et al.
Published: (2024)

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
by: Wang, Yuwen, et al.
Published: (2024)

Disentangled Condensation for Large-scale Graphs
by: Xiao, Zhenbang, et al.
Published: (2024)

Physics-informed Diffusion Generation for Geomagnetic Map Interpolation
by: Li, Wenda, et al.
Published: (2026)

SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
by: Fang, Wenkai, et al.
Published: (2025)

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning
by: Ying, Yuchen, et al.
Published: (2026)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)

Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems in Minecraft
by: Li, Yaoru, et al.
Published: (2025)

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection
by: He, Runang, et al.
Published: (2026)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
by: Zhou, Yihe, et al.
Published: (2023)

Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
by: Cao, Ji, et al.
Published: (2025)

Neural Graph Navigation for Intelligent Subgraph Matching
by: Ying, Yuchen, et al.
Published: (2025)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
by: Wang, Yu, et al.
Published: (2024)

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
by: Yang, Jie, et al.
Published: (2025)

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
by: Qing, Yunpeng, et al.
Published: (2024)

Tree of Preferences for Diversified Recommendation
by: Yuan, Hanyang, et al.
Published: (2025)

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
by: Guo, Qinghong, et al.
Published: (2025)

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction
by: Wang, Yu, et al.
Published: (2025)

Curriculum Negative Mining For Temporal Networks
by: Chen, Ziyue, et al.
Published: (2024)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
by: Liu, Shunyu, et al.
Published: (2022)

Meta-aware Learning in text-to-SQL Large Language Model
by: Zhang, Wenda
Published: (2025)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
by: Qing, Yunpeng, et al.
Published: (2022)

Odyssey: Empowering Minecraft Agents with Open-World Skills
by: Liu, Shunyu, et al.
Published: (2024)

Holistic Semantic Representation for Navigational Trajectory Generation
by: Cao, Ji, et al.
Published: (2025)

Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
by: Zhang, Kongcheng, et al.
Published: (2025)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
by: Chen, Kedi, et al.
Published: (2024)

Evolutionary Negative Module Pruning for Better LoRA Merging
by: Cao, Anda, et al.
Published: (2026)

Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
by: Zhou, Yang, et al.
Published: (2025)

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
by: Liu, Shunyu, et al.
Published: (2024)

ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction
by: Liu, Wenda, et al.
Published: (2026)

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
by: Yuan, Hanyang, et al.
Published: (2024)

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judges
by: Tang, Yuqi, et al.
Published: (2025)

Heimdall++: Optimizing GPU Utilization and Pipeline Parallelism for Efficient Single-Pulse Detection
by: Xia, Bingzheng, et al.
Published: (2025)

Dataset Ownership Verification in Contrastive Pre-trained Models
by: Xie, Yuechen, et al.
Published: (2025)

A-MEM: Agentic Memory for LLM Agents
by: Xu, Wujiang, et al.
Published: (2025)

Recent Advances of Foundation Language Models-based Continual Learning: A Survey
by: Yang, Yutao, et al.
Published: (2024)