AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yixuan, Huang, Yue, Qian, Hong, Wei, Yunzhao, Ding, Yifei, Wang, Wenkai, Liu, Zhi, Huang, Zhongjing, Zhou, Aimin, Guo, Jiajun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ContextGuard: Structured Self-Auditing for Context Learning in Language Models
by: Jin, Hongbo, et al.
Published: (2026)
by: Jin, Hongbo, et al.
Published: (2026)
Creative Potential and Creative Self‐Belief: Measurement Invariance in Cross‐Cultural Contexts
by: Yawei Guo, et al.
Published: (2024)
by: Yawei Guo, et al.
Published: (2024)
Long-Short Alignment for Effective Long-Context Modeling in LLMs
by: Du, Tianqi, et al.
Published: (2025)
by: Du, Tianqi, et al.
Published: (2025)
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
by: Jin, Hongbo, et al.
Published: (2026)
by: Jin, Hongbo, et al.
Published: (2026)
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
by: Han, Jun, et al.
Published: (2026)
by: Han, Jun, et al.
Published: (2026)
Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
by: Huang, Chensen, et al.
Published: (2024)
by: Huang, Chensen, et al.
Published: (2024)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)
by: Liu, Yuanhao, et al.
Published: (2026)
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
by: Wu, Shaojin, et al.
Published: (2025)
by: Wu, Shaojin, et al.
Published: (2025)
Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering
by: Zhu, Jiachen, et al.
Published: (2026)
by: Zhu, Jiachen, et al.
Published: (2026)
Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization
by: Lu, Yongfan, et al.
Published: (2024)
by: Lu, Yongfan, et al.
Published: (2024)
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
by: Li, Bingdong, et al.
Published: (2025)
by: Li, Bingdong, et al.
Published: (2025)
Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding
by: Wang, Yifei
Published: (2025)
by: Wang, Yifei
Published: (2025)
DeepEraser: Deep Iterative Context Mining for Generic Text Eraser
by: Feng, Hao, et al.
Published: (2024)
by: Feng, Hao, et al.
Published: (2024)
Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-language Models
by: Li, Mingen, et al.
Published: (2025)
by: Li, Mingen, et al.
Published: (2025)
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
by: Jiang, Mei, et al.
Published: (2025)
by: Jiang, Mei, et al.
Published: (2025)
Orchid: Orchestrating Context Across Creative Workflows with Generative AI
by: Palani, Srishti, et al.
Published: (2025)
by: Palani, Srishti, et al.
Published: (2025)
Exploring Creative Wellbeing Frameworks in Context
Published: (2024)
Published: (2024)
Cut2Next: Generating Next Shot via In-Context Tuning
by: He, Jingwen, et al.
Published: (2025)
by: He, Jingwen, et al.
Published: (2025)
Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential Communication
by: Merlo, Filippo, et al.
Published: (2025)
by: Merlo, Filippo, et al.
Published: (2025)
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)
by: Hao, Hao, et al.
Published: (2024)
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
by: Guo, Zhihan, et al.
Published: (2025)
by: Guo, Zhihan, et al.
Published: (2025)
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
by: Wang, Jianing, et al.
Published: (2023)
by: Wang, Jianing, et al.
Published: (2023)
Synergizing Discriminative Exemplars and Self-Refined Experience for MLLM-based In-Context Learning in Medical Diagnosis
by: Zhao, Wenkai, et al.
Published: (2026)
by: Zhao, Wenkai, et al.
Published: (2026)
Evolution Transformer: In-Context Evolutionary Optimization
by: Lange, Robert Tjarko, et al.
Published: (2024)
by: Lange, Robert Tjarko, et al.
Published: (2024)
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
by: Hao, Hao, et al.
Published: (2024)
by: Hao, Hao, et al.
Published: (2024)
Cultural Differences in Thinking Outside of Box: The Influence of Context‐Independent Versus Context‐Dependent Thinking Styles on Creative Task Performance
by: Wenxia Guo, et al.
Published: (2025)
by: Wenxia Guo, et al.
Published: (2025)
In-Context LoRA for Diffusion Transformers
by: Huang, Lianghua, et al.
Published: (2024)
by: Huang, Lianghua, et al.
Published: (2024)
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)
by: Hu, Peng, et al.
Published: (2024)
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM
by: Fang, Xinyu, et al.
Published: (2025)
by: Fang, Xinyu, et al.
Published: (2025)
The Attribution Blind Spot: Detecting When Language Models Rely on Memory Rather Than Retrieved Context
by: Yu, Zhe, et al.
Published: (2026)
by: Yu, Zhe, et al.
Published: (2026)
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
by: Zhu, Wenhao, et al.
Published: (2025)
by: Zhu, Wenhao, et al.
Published: (2025)
Evolutionary Retrosynthetic Route Planning
by: Zhang, Yan, et al.
Published: (2023)
by: Zhang, Yan, et al.
Published: (2023)
Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
by: Zhang, Yong, et al.
Published: (2025)
by: Zhang, Yong, et al.
Published: (2025)
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
by: Cui, Jiajun, et al.
Published: (2023)
by: Cui, Jiajun, et al.
Published: (2023)
Context Training with Active Information Seeking
by: Huang, Zeyu, et al.
Published: (2026)
by: Huang, Zeyu, et al.
Published: (2026)
Generative Multimodal Models are In-Context Learners
by: Sun, Quan, et al.
Published: (2023)
by: Sun, Quan, et al.
Published: (2023)
ContextCite: Attributing Model Generation to Context
by: Cohen-Wang, Benjamin, et al.
Published: (2024)
by: Cohen-Wang, Benjamin, et al.
Published: (2024)
Diverging Cervical Cancer Burden in Africa in the Context of WHO's Elimination Strategy: Insights From GBD 2023
by: Yedong Huang, et al.
Published: (2026)
by: Yedong Huang, et al.
Published: (2026)
TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding
by: Wijesinghe, Achintha, et al.
Published: (2025)
by: Wijesinghe, Achintha, et al.
Published: (2025)
Growth Mindset in the Turkish Context: Adaptation, Validation, and Psychometric Evaluation
by: Feyza Filizay, et al.
Published: (2026)
by: Feyza Filizay, et al.
Published: (2026)
Similar Items
-
ContextGuard: Structured Self-Auditing for Context Learning in Language Models
by: Jin, Hongbo, et al.
Published: (2026) -
Creative Potential and Creative Self‐Belief: Measurement Invariance in Cross‐Cultural Contexts
by: Yawei Guo, et al.
Published: (2024) -
Long-Short Alignment for Effective Long-Context Modeling in LLMs
by: Du, Tianqi, et al.
Published: (2025) -
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
by: Jin, Hongbo, et al.
Published: (2026) -
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
by: Han, Jun, et al.
Published: (2026)