Jacob Dineen

According to our database, Jacob Dineen authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Skill Reuse as Compression in Agentic RL.

Zhikun Xu, Yu Feng, Jacob Dineen, Taiwei Shi, Jieyu Zhao, Ben Zhou

CoRR, May, 2026

VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images.

Zhaonan Li, Kyle R. Chickering, Bangzheng Li, Jacob Dineen, Xiao Ye, Zhikun Xu, Shijie Lu, Yuxi Huang, Ming Shen, Bach Nguyen, Jaya Adithya Pavuluri, Mau Son Nguyen, Sanika Chavan, Ngoc Minh Thu Le, Muhao Chen, Ben Zhou

CoRR, May, 2026

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models.

Aswin RRV, Jacob Dineen, Divij Handa, Mihir Parmar, Ben Zhou, Swaroop Mishra, Chitta Baral

CoRR, May, 2026

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution.

Jacob Dineen, Aswin RRV, Zhikun Xu, Ben Zhou

CoRR, April, 2026

2025

Unbiased Visual Reasoning with Controlled Visual Inputs.

Zhaonan Li, Shijie Lu, Fei Wang, Jacob Dineen, Xiao Ye, Zhikun Xu, Siyi Liu, Young Min Cho, Bangzheng Li, Daniel Chang, Kenny Nguyen, Qizheng Yang, Muhao Chen, Ben Zhou

CoRR, December, 2025

Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications.

Xiao Ye, Jacob Dineen, Zhaonan Li, Zhikun Xu, Weiyu Chen, Shijie Lu, Yuxi Huang, Ming Shen, Phu Tran, Ji-Eun Irene Yum, Muhammad Ali Khan, Muhammad Umar Afzal, Irbaz Bin Riaz, Ben Zhou

CoRR, October, 2025

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation.

Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen

CoRR, October, 2025

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems.

Adarsh Srinivasan, Jacob Dineen, Muhammad Umar Afzal, Muhammad Uzair Sarfraz, Irbaz B. Riaz, Ben Zhou

CoRR, September, 2025

CC-LEARN: Cohort-based Consistency Learning.

Xiao Ye, Shaswat Shrivastava, Zhaonan Li, Jacob Dineen, Shijie Lu, Avneet Ahuja, Ming Shen, Zhikun Xu, Ben Zhou

CoRR, June, 2025

BOW: Bottlenecked Next Word Exploration.

Ming Shen, Zhikun Xu, Xiao Ye, Jacob Dineen, Ben Zhou

CoRR, June, 2025

ToW: Thoughts of Words Improve Reasoning in Large Language Models.

Zhikun Xu, Ming Shen, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ThinkTuning: Instilling Cognitive Reflections without Distillation.

Aswin RRV, Jacob Dineen, Divij Handa, Md Nayem Uddin, Mihir Parmar, Chitta Baral, Ben Zhou

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA.

Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2023

Unified Explanations in Machine Learning Models: A Perturbation Approach.

Jacob Dineen, Donald J. Kridel, Daniel R. Dolk, David G. Castillo

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2021

Reinforcement Learning for Data Poisoning on Graph Neural Networks.

Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Formal Methods for an Iterated Volunteer's Dilemma.

Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

2020

Model Interpretation and Explainability towards Creating Transparency in Prediction Models.

Daniel R. Dolk, Donald J. Kridel, Jacob Dineen, David G. Castillo

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020