Haibo Ding - RankMe

42 papers A* 4A 1B 1Journal 16Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration. CoRR Yiyue Qian, Shinan Zhang, Yun Zhou, Haibo Ding, Diego Socolinsky, Yi Zhang
2026	—	`conf`	Diffusion Language Model Inference with Monte Carlo Tree Search. EACL (Findings) Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2026	—	`conf`	Learning to Ideate for Machine Learning Engineering Agents. EACL (Volume 2: Short Papers) Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	J	`jnl`	Learning to Ideate for Machine Learning Engineering Agents. CoRR Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	—	`conf`	PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. EACL (Findings) Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	A*	`conf`	A Systematic Survey of Automatic Prompt Optimization Techniques. EMNLP Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	A Systematic Survey of Automatic Prompt Optimization Techniques. CoRR Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation. CoRR Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding
2025	—	`conf`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. NAACL (Short Papers) Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. CoRR Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. IJCNLP-AACL (long papers) Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. CoRR Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Diffusion Language Model Inference with Monte Carlo Tree Search. CoRR Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. EMNLP (Industry Track) Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	KDD 2025 Workshop on Prompt Optimization. KDD (2) Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong
2025	J	`jnl`	PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. CoRR Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	SLOT: Structuring the Output of Large Language Models. EMNLP (Industry Track) Zhengyuan Shen, Darren Yow-Bang Wang, Soumya Smruti Mishra, Zhichao Xu, Yifei Teng, Haibo Ding
2025	J	`jnl`	SLOT: Structuring the Output of Large Language Models. CoRR Darren Yow-Bang Wang, Zhengyuan Shen, Soumya Smruti Mishra, Zhichao Xu, Yifei Teng, Haibo Ding
2022	A*	`conf`	Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig
2022	J	`jnl`	Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig
2022	B	`conf`	Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. COLING Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
2022	J	`jnl`	Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. CoRR Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
2021	—	`conf`	Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. ACL/IJCNLP (2) Pei Chen, Haibo Ding, Jun Araki, Ruihong Huang
2021	A	`conf`	GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. EACL Xinyan Zhao, Haibo Ding, Zhe Feng
2021	J	`jnl`	GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. CoRR Xinyan Zhao, Haibo Ding, Zhe Feng
2021	J	`jnl`	How Can We Know Trans. Assoc. Comput. Linguistics Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
2021	—	`conf`	Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2021	J	`jnl`	Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2020	J	`jnl`	How Can We Know When Language Models Know? CoRR Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
2020	—	`conf`	Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation. EMNLP (Findings) Haibo Ding, Zhe Feng
2020	—	`conf`	X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. EMNLP (1) Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
2020	J	`jnl`	X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. CoRR Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
2019	—	`conf`	Improving Human Needs Categorization of Events with Semantic Classification. *SEM@NAACL-HLT Haibo Ding, Ellen Riloff, Zhe Feng
2018	—	`—`	Affective Polarity Recognition and Human Needs Categorization for Affective Events. Haibo Ding
2018	—	`conf`	Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. NAACL-HLT Haibo Ding, Ellen Riloff
2018	A*	`conf`	Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. AAAI Haibo Ding, Ellen Riloff
2018	—	`conf`	Why Is an Event Affective? Classifying Affective Events Based on Human Needs. AAAI Workshops Haibo Ding, Tianyu Jiang, Ellen Riloff
2016	A*	`conf`	Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. AAAI Haibo Ding, Ellen Riloff
2015	—	`conf`	Extracting Information about Medication Use from Veterinary Discussions. HLT-NAACL Haibo Ding, Ellen Riloff
2011	—	`conf`	The NTCIR Tong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren, Huizhen Wang
2010	—	`conf`	A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation. CIPS-SIGHAN Huizhen Wang, Haibo Ding, Yingchao Shi, Ji Ma, Xiao Zhou, Jingbo Zhu
2010	—	`conf`	A reranking method for syntactic parsing with heterogeneous treebanks. NLPKE Haibo Ding, Muhua Zhu, Jingbo Zhu