Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Ziwen, Yang, Shangshang, Yu, Xiaoshan, Ma, Haiping, Zhang, Xingyi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
by: Yu, Xiaoshan, et al.
Published: (2026)
by: Yu, Xiaoshan, et al.
Published: (2026)
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
by: Yu, Xiaoshan, et al.
Published: (2025)
by: Yu, Xiaoshan, et al.
Published: (2025)
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
by: Yu, Xiaoshan, et al.
Published: (2024)
by: Yu, Xiaoshan, et al.
Published: (2024)
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
by: Yu, Xiaoshan, et al.
Published: (2024)
by: Yu, Xiaoshan, et al.
Published: (2024)
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)
by: Zhang, Sheng, et al.
Published: (2024)
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
by: Geng, Binzong, et al.
Published: (2024)
by: Geng, Binzong, et al.
Published: (2024)
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives
by: Gao, Weibo, et al.
Published: (2023)
by: Gao, Weibo, et al.
Published: (2023)
Breaking the Cold-Start Barrier: Reinforcement Learning with Double and Dueling DQNs
by: Zhao, Minda
Published: (2025)
by: Zhao, Minda
Published: (2025)
Generative Cognitive Diagnosis
by: Li, Jiatong, et al.
Published: (2025)
by: Li, Jiatong, et al.
Published: (2025)
Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
by: Yang, Weiqin, et al.
Published: (2025)
by: Yang, Weiqin, et al.
Published: (2025)
Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace
by: Rusli, Andre, et al.
Published: (2025)
by: Rusli, Andre, et al.
Published: (2025)
A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search
by: Terrenzi, Riccardo, et al.
Published: (2026)
by: Terrenzi, Riccardo, et al.
Published: (2026)
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)
by: Zhao, Ziwen, et al.
Published: (2026)
OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
by: Chen, Ben, et al.
Published: (2026)
by: Chen, Ben, et al.
Published: (2026)
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
by: Chen, Yankai, et al.
Published: (2024)
by: Chen, Yankai, et al.
Published: (2024)
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
by: Zhao, Qian, et al.
Published: (2024)
by: Zhao, Qian, et al.
Published: (2024)
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
by: Jannach, Dietmar, et al.
Published: (2025)
by: Jannach, Dietmar, et al.
Published: (2025)
PLACE: Prompt Learning for Attributed Community Search in Large Graphs
by: Fang, Shuheng, et al.
Published: (2025)
by: Fang, Shuheng, et al.
Published: (2025)
Towards Competitive Search Relevance For Inference-Free Learned Sparse Retrievers
by: Geng, Zhichao, et al.
Published: (2024)
by: Geng, Zhichao, et al.
Published: (2024)
Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
by: Li, Wenyao, et al.
Published: (2025)
by: Li, Wenyao, et al.
Published: (2025)
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
by: Kuai, Zhirui, et al.
Published: (2024)
by: Kuai, Zhirui, et al.
Published: (2024)
Taxonomy-guided Semantic Indexing for Academic Paper Search
by: Kang, SeongKu, et al.
Published: (2024)
by: Kang, SeongKu, et al.
Published: (2024)
Leveraging Evidence-Guided LLMs to Enhance Trustworthy Depression Diagnosis
by: Yuan, Yining, et al.
Published: (2025)
by: Yuan, Yining, et al.
Published: (2025)
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions
by: Hu, Xuming, et al.
Published: (2024)
by: Hu, Xuming, et al.
Published: (2024)
RAE: A Neural Network Dimensionality Reduction Method for Nearest Neighbors Preservation in Vector Search
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
by: Fang, Shuheng, et al.
Published: (2024)
by: Fang, Shuheng, et al.
Published: (2024)
USimAgent: Large Language Models for Simulating Search Users
by: Zhang, Erhan, et al.
Published: (2024)
by: Zhang, Erhan, et al.
Published: (2024)
Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
by: Xu, Da, et al.
Published: (2024)
by: Xu, Da, et al.
Published: (2024)
COINBench: Moving Beyond Individual Perspectives to Collective Intent Understanding
by: Li, Xiaozhe, et al.
Published: (2026)
by: Li, Xiaozhe, et al.
Published: (2026)
AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
by: Xia, Yu, et al.
Published: (2025)
by: Xia, Yu, et al.
Published: (2025)
ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations
by: Tang, Bo, et al.
Published: (2025)
by: Tang, Bo, et al.
Published: (2025)
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
by: Shi, Yunxiao, et al.
Published: (2025)
by: Shi, Yunxiao, et al.
Published: (2025)
UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems
by: Ha, Mingming, et al.
Published: (2026)
by: Ha, Mingming, et al.
Published: (2026)
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
by: Chen, Yiqun, et al.
Published: (2024)
by: Chen, Yiqun, et al.
Published: (2024)
Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation
by: Mayo, Jonathan, et al.
Published: (2026)
by: Mayo, Jonathan, et al.
Published: (2026)
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)
by: Kong, Xiaoyu, et al.
Published: (2025)
Similar Items
-
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
by: Yu, Xiaoshan, et al.
Published: (2026) -
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
by: Yu, Xiaoshan, et al.
Published: (2025) -
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
by: Yu, Xiaoshan, et al.
Published: (2024) -
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
by: Yu, Xiaoshan, et al.
Published: (2024) -
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)