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Publications

9 total · 4 published · 5 in progress · * equal contribution

Showing 9 of 9 publications

Where to Show Demos in Your Prompt: A Positional Bias of In-Context Learning

Kwesi A. Cobbina, Tianyi Zhou

Empirical Methods in Natural Language Processing (EMNLP) 2025

Published
In-Context LearningLLMPrompt EngineeringNLP
[PDF][arXiv]

ColorBench: Towards Evaluation on Color Cognition Capabilities of LLMs

Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi A. Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou

Conference on Neural Information Processing Systems (NeurIPS) 2025

Published
Multimodal LearningLLM EvaluationColor CognitionBenchmark
[arXiv]

My LLM Might Mimic AAE—But When Should It?

Sandra C. Sandoval*, Christabel Acquaye*, Kwesi A. Cobbina*, Mohammad N. Teli, Hal Daumé III

Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2025* Equal contribution

Published
Language FairnessAAELLMNLPEthics
[PDF]

Evaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances

Hannah K. Bako, Arshnoor Bhutani, Xinyi Liu, Kwesi A. Cobbina, Zhicheng Liu

IEEE Visualization and Visual Analytics (VIS) 2024

Published
VisualizationNLPLLM EvaluationSemantic Analysis
[arXiv]

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions

Chenrui Fan, Yijun Liang, Shweta Bhardwaj, Ming Li, Kwesi A. Cobbina, Tianyi Zhou

Conference on Computer Vision and Pattern Recognition (CVPR) 2026Under review

Under Review
Visual ReasoningMultimodalBenchmarkVision-Language

Efficient Reasoning Trace

Kwesi A. Cobbina, Ming Li*, Dang Nguyen, Chenguang Wang, Tianyi Zhou

Association for Computational Linguistics (ACL) 2026Manuscript in preparation

In Preparation
ReasoningLLMEfficiencyNLP

Flip-Rate No More: Position-Aware Controllers for Prompt Robustness

Kwesi A. Cobbina*, Simran Gawri, Tianyi Zhou

Association for Computational Linguistics (ACL) 2026Manuscript in preparation

In Preparation
Prompt RobustnessLLMIn-Context LearningNLP

Meta-Vector: Test-Time Meta-Learning via In-Context Vector Arithmetic

Kwesi A. Cobbina*, Yuhan Wang*, Tianyi Zhou

International Conference on Machine Learning (ICML) 2026Manuscript in preparation

In Preparation
Meta-LearningIn-Context LearningLLMOptimization

Beyond the Prompt: Approaches to Knowledge Boundary Detection in Large Language Models — A Systematic Literature Review

Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman, Ishan Tamrakar, Kwesi Cobbina, Mike Ledford, Srividya Ponnada, Xinchen Yang, Yuexi Chen

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2026Journal article under review

Under Review
Knowledge BoundariesLLMSurveyNLP