Jinman Zhao - RankMe

51 papers A* 7A 2B 1Journal 28Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models. AAAI Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn
2026	J	`jnl`	CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions. CoRR Jingwei Shi, Xinxiang Yin, Jing Huang, Jinman Zhao, Shengyu Tao
2026	J	`jnl`	Mitigating Hallucinations in Video Large Language Models via Spatiotemporal-Semantic Contrastive Decoding. CoRR Yuansheng Gao, Jinman Zhao, Tong Zhang, Xingguo Xu, Han Bao, Zonghui Wang, Wenzhi Chen
2026	J	`jnl`	Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models. CoRR Hui Wu, Hengyi Cai, Jinman Zhao, Xinran Chen, Ziheng Li, Zhejun Zhao, Shuaiqiang Wang, Yuchen Li, Dawei Yin
2025	B	`conf`	Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar. COLING Jinman Zhao, Gerald Penn
2025	—	`conf`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. ACL (1) Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2025	—	`conf`	Low-Rank Interconnected Adaptation across Layers. ACL (Findings) Yibo Zhong, Jinman Zhao, Yao Zhou
2025	A	`conf`	MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. ICME Guohui Cai, Ruicheng Zhang, Hongyang He, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Jinman Zhao, Binbin Hu, Zhibin Liao, Yang Zhao, Ying Cai
2025	J	`jnl`	Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference Alignment. CoRR Yuhui Sun, Xiyao Wang, Zixi Li, Jinman Zhao
2025	A	`conf`	PolyMorphous: An MLIR-Based Polyhedral Compiler with Loop Transformation Primitives. IPDPS Jinman Zhao, Seyed Aryan Vahabpour, Xingyu Yue, Kai-Ting Amy Wang, Tarek S. Abdelrahman
2025	—	`conf`	PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy. ACL (1) Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene
2025	J	`jnl`	PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy. CoRR Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene
2025	J	`jnl`	Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks. CoRR Linbo Cao, Jinman Zhao
2025	—	`conf`	Sequence-level Large Language Model Training with Contrastive Preference Optimization. NAACL (Findings) Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal, Jinman Zhao, Sheng Zha
2025	J	`jnl`	Sequence-level Large Language Model Training with Contrastive Preference Optimization. CoRR Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal, Jinman Zhao, Sheng Zha
2025	J	`jnl`	Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding. CoRR Ziheng Li, Zexu Sun, Jinman Zhao, Erxue Min, Yongcheng Zeng, Hui Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen, Zhi-Hong Deng
2025	A*	`conf`	Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning. EMNLP Jinman Zhao, Xueyan Zhang, Jiaru Li, Jingcheng Niu, Yulan Hu, Erxue Min, Gerald Penn
2025	—	`conf`	UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models. ACL (1) Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang
2025	J	`jnl`	UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models. CoRR Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang
2025	J	`jnl`	λ-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences. CoRR Yining Wang, Jinman Zhao, Chuangxin Zhao, Shuhao Guan, Gerald Penn, Shinan Liu
2024	—	`conf`	A Generative Model for Lambek Categorial Sequents. LREC/COLING Jinman Zhao, Gerald Penn
2024	J	`jnl`	Bias and Toxicity in Role-Play Reasoning. CoRR Jinman Zhao, Zifan Qian, Linbo Cao, Yining Wang, Yitian Ding
2024	J	`jnl`	Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch. CoRR Jinman Zhao, Xueyan Zhang, Xingyu Yue, Weizhe Chen, Zifan Qian, Ruiyu Wang
2024	J	`jnl`	Contrastive-Active Transfer Learning-Based Real-Time Adaptive Assessment Method for Power System Transient Stability. Sensors Jinman Zhao, Xiaoqing Han, Chengmin Wang, Jing Yang, Gengwu Zhang
2024	J	`jnl`	Exploring the Limitations of Large Language Models in Compositional Relation Reasoning. CoRR Jinman Zhao, Xueyan Zhang
2024	—	`conf`	Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs. ACL (Findings) Dingmin Wang, Jinman Zhao, Hengzhi Pei, Samson Tan, Sheng Zha
2024	J	`jnl`	GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. CoRR Yining Wang, Jinman Zhao, Yuri A. Lawryshyn
2024	J	`jnl`	Gender Bias in Large Language Models across Multiple Languages. CoRR Jinman Zhao, Yitian Ding, Chen Jia, Yining Wang, Zifan Qian
2024	—	`conf`	LLM-supertagger: Categorial Grammar Supertagging via Large Language Models. EMNLP (Findings) Jinman Zhao, Gerald Penn
2024	J	`jnl`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2024	—	`conf`	MMREC: LLM Based Multi-Modal Recommender System. SMAP Jiahao Tian, Zhenkai Wang, Jinman Zhao, Zhicheng Ding
2024	J	`jnl`	MMREC: LLM Based Multi-Modal Recommender System. CoRR Jiahao Tian, Jinman Zhao, Zhenkai Wang, Zhicheng Ding
2024	J	`jnl`	Semantic Understanding and Data Imputation using Large Language Model to Accelerate Recommendation System. CoRR Zhicheng Ding, Jiahao Tian, Zhenkai Wang, Jinman Zhao, Siyang Li
2023	A*	`conf`	Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. AAAI Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. CoRR Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023	A*	`conf`	Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2021	—	`conf`	A Generative Process for Lambek Categorial Proof Nets. MOL Jinman Zhao, Gerald Penn
2021	A*	`conf`	Code Prediction by Feeding Trees to Transformers. ICSE Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
2020	J	`jnl`	Code Prediction by Feeding Trees to Transformers. CoRR Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
2020	—	`conf`	PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
2020	J	`jnl`	PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
2019	J	`jnl`	Counting hypergraph matchings up to uniqueness threshold. Inf. Comput. Renjie Song, Yitong Yin, Jinman Zhao
2018	A*	`conf`	Generalizing Word Embeddings using Bag of Subwords. EMNLP Jinman Zhao, Sidharth Mudgal, Yingyu Liang
2018	J	`jnl`	Generalizing Word Embeddings using Bag of Subwords. CoRR Jinman Zhao, Sidharth Mudgal, Yingyu Liang
2018	J	`jnl`	Neural-Augmented Static Analysis of Android Communication. CoRR Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau
2018	—	`conf`	Neural-augmented static analysis of Android communication. ESEC/SIGSOFT FSE Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau
2018	A*	`conf`	The Effect of Network Width on the Performance of Large-batch Training. NeurIPS Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2018	J	`jnl`	The Effect of Network Width on the Performance of Large-batch Training. CoRR Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2016	—	`conf`	Counting Hypergraph Matchings up to Uniqueness Threshold. APPROX-RANDOM Renjie Song, Yitong Yin, Jinman Zhao
2015	J	`jnl`	Counting hypergraph matchings up to uniqueness threshold. CoRR Yitong Yin, Jinman Zhao