Jacob Dineen - RankMe

20 papers A* 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation. CoRR Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen
2025	J	`jnl`	BOW: Bottlenecked Next Word Exploration. CoRR Ming Shen, Zhikun Xu, Xiao Ye, Jacob Dineen, Ben Zhou
2025	J	`jnl`	CC-LEARN: Cohort-based Consistency Learning. CoRR Xiao Ye, Shaswat Shrivastava, Zhaonan Li, Jacob Dineen, Shijie Lu, Avneet Ahuja, Ming Shen, Zhikun Xu, Ben Zhou
2025	J	`jnl`	Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications. CoRR 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
2025	—	`conf`	QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA. EMNLP (Findings) Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou
2025	J	`jnl`	QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA. CoRR Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou
2025	J	`jnl`	RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems. CoRR Adarsh Srinivasan, Jacob Dineen, Muhammad Umar Afzal, Muhammad Uzair Sarfraz, Irbaz B. Riaz, Ben Zhou
2025	A*	`conf`	ThinkTuning: Instilling Cognitive Reflections without Distillation. EMNLP Aswin RRV, Jacob Dineen, Divij Handa, Md Nayem Uddin, Mihir Parmar, Chitta Baral, Ben Zhou
2025	J	`jnl`	ThinkTuning: Instilling Cognitive Reflections without Distillation. CoRR Aswin RRV, Jacob Dineen, Divij Handa, Md Nayem Uddin, Mihir Parmar, Chitta Baral, Ben Zhou
2025	—	`conf`	ToW: Thoughts of Words Improve Reasoning in Large Language Models. NAACL (Long Papers) Zhikun Xu, Ming Shen, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou
2025	J	`jnl`	Unbiased Visual Reasoning with Controlled Visual Inputs. CoRR 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
2024	J	`jnl`	Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models. CoRR Donald J. Kridel, Jacob Dineen, Daniel R. Dolk, David G. Castillo
2024	J	`jnl`	ToW: Thoughts of Words Improve Reasoning in Large Language Models. CoRR Zhikun Xu, Ming Shen, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou
2024	J	`jnl`	Unified Explanations in Machine Learning Models: A Perturbation Approach. CoRR Jacob Dineen, Donald J. Kridel, Daniel R. Dolk, David G. Castillo
2023	—	`conf`	Unified Explanations in Machine Learning Models: A Perturbation Approach. HICSS Jacob Dineen, Donald J. Kridel, Daniel R. Dolk, David G. Castillo
2021	—	`conf`	Formal Methods for an Iterated Volunteer's Dilemma. SBP-BRiMS Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
2021	J	`jnl`	Reinforcement Learning For Data Poisoning on Graph Neural Networks. CoRR Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
2021	—	`conf`	Reinforcement Learning for Data Poisoning on Graph Neural Networks. SBP-BRiMS Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
2020	J	`jnl`	Formal methods for aN Iterated volunteer's dilemma. CoRR Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
2020	—	`conf`	Model Interpretation and Explainability towards Creating Transparency in Prediction Models. HICSS Daniel R. Dolk, Donald J. Kridel, Jacob Dineen, David G. Castillo