Dian Yu

102 papers A* 13A 1B 4Journal 58Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning.
CoRR
Haolin Liu, Dian Yu, Sidi Lu, Yujun Zhou, Rui Liu, Zhenwen Liang, Haitao Mi, Chen-Yu Wei, Dong Yu
2025 J jnl
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models.
CoRR
Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu
2025 J jnl
CLUE: Non-parametric Verification from Experience via Hidden-State Clustering.
CoRR
Zhenwen Liang, Ruosen Li, Yujun Zhou, Linfeng Song, Dian Yu, Xinya Du, Haitao Mi, Dong Yu
2025 J jnl
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.
CoRR
Yi Su, Dian Yu, Linfeng Song, Juntao Li, Haitao Mi, Zhaopeng Tu, Min Zhang, Dong Yu
2025 A* conf
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search.
ICLR
Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu
2025 J jnl
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
CoRR
Zhiwei He, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xingyu Chen, Yue Wang, Linfeng Song, Dian Yu, Zhenwen Liang, Wenxuan Wang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 A* conf
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models.
ICML
Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 — conf
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls.
ACL (1)
Ante Wang, Linfeng Song, Ye Tian, Dian Yu, Haitao Mi, Xiangyu Duan, Zhaopeng Tu, Jinsong Su, Dong Yu
2025 J jnl
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls.
CoRR
Ante Wang, Linfeng Song, Ye Tian, Dian Yu, Haitao Mi, Xiangyu Duan, Zhaopeng Tu, Jinsong Su, Dong Yu
2025 J jnl
Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values.
CoRR
Dian Yu, Yulai Zhao, Kishan Panaganti, Linfeng Song, Haitao Mi, Dong Yu
2025 J jnl
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation.
CoRR
Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu
2025 J jnl
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent.
CoRR
Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu
2025 A* conf
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning.
ICLR
Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu
2025 A* conf
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning.
AAAI
Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu
2025 J jnl
One Token to Fool LLM-as-a-Judge.
CoRR
Yulai Zhao, Haolin Liu, Dian Yu, S. Y. Kung, Haitao Mi, Dong Yu
2025 J jnl
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas.
CoRR
Xiaoyang Wang, Hongming Zhang, Tao Ge, Wenhao Yu, Dian Yu, Dong Yu
2025 J jnl
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models.
Trans. Assoc. Comput. Linguistics
Jianhui Pang, Fanghua Ye, Derek Fai Wong, Dian Yu, Shuming Shi, Zhaopeng Tu, Longyue Wang
2025 J jnl
Self-Rewarding Vision-Language Model via Reasoning Decomposition.
CoRR
Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2025 J jnl
Stable and Efficient Single-Rollout RL for Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Lei Ke, Haolin Liu, Yujun Zhou, Zhenwen Liang, Haitao Mi, Pratap Tokekar, Dong Yu
2025 J jnl
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.
CoRR
Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 J jnl
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu
2024 — conf
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.
ECCV (5)
Zhen Zhao, Zicheng Wang, Longyue Wang, Dian Yu, Yixuan Yuan, Luping Zhou
2024 J jnl
Conceptual and Unbiased Reasoning in Language Models.
CoRR
Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu
2024 J jnl
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search.
CoRR
Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu
2024 J jnl
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.
CoRR
Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2024 J jnl
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning.
CoRR
Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu
2024 A* conf
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
EMNLP
Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
CoRR
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
LiteSearch: Efficacious Tree Search for LLM.
CoRR
Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu
2024 J jnl
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.
CoRR
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
2024 — conf
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning.
LREC/COLING
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2024 J jnl
SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models.
CoRR
Dian Yu, Baolin Peng, Ye Tian, Linfeng Song, Haitao Mi, Dong Yu
2024 J jnl
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models.
CoRR
Jianhui Pang, Fanghua Ye, Longyue Wang, Dian Yu, Derek F. Wong, Shuming Shi, Zhaopeng Tu
2024 J jnl
Scaling Synthetic Data Creation with 1,000,000,000 Personas.
CoRR
Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu
2024 — conf
Skills-in-Context: Unlocking Compositionality in Large Language Models.
EMNLP (Findings)
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2024 — conf
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
NAACL-HLT
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
2024 J jnl
Teaching LLMs to Refine with Tools.
CoRR
Dian Yu, Yuheng Zhang, Jiahao Xu, Tian Liang, Linfeng Song, Zhaopeng Tu, Haitao Mi, Dong Yu
2024 A* conf
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.
NeurIPS
Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu
2024 J jnl
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.
CoRR
Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Haitao Mi, Dong Yu
2024 J jnl
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning.
CoRR
Xiyao Wang, Linfeng Song, Ye Tian, Dian Yu, Baolin Peng, Haitao Mi, Furong Huang, Dong Yu
2023 J jnl
Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling.
CoRR
Longyue Wang, Zefeng Du, Donghuai Liu, Deng Cai, Dian Yu, Haiyun Jiang, Yan Wang, Leyang Cui, Shuming Shi, Zhaopeng Tu
2023 A* conf
Document-Level Machine Translation with Large Language Models.
EMNLP
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu
2023 J jnl
Document-Level Machine Translation with Large Language Models.
CoRR
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu
2023 — conf
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs.
WMT
Longyue Wang, Zhaopeng Tu, Yan Gu, Siyou Liu, Dian Yu, Qingsong Ma, Chenyang Lyu, Liting Zhou, Chao-Hong Liu, Yufeng Ma, Weiyu Chen, Yvette Graham, Bonnie Webber, Philipp Koehn, Andy Way, Yulin Yuan, Shuming Shi
2023 J jnl
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs.
CoRR
Longyue Wang, Zhaopeng Tu, Yan Gu, Siyou Liu, Dian Yu, Qingsong Ma, Chenyang Lyu, Liting Zhou, Chao-Hong Liu, Yufeng Ma, Weiyu Chen, Yvette Graham, Bonnie Webber, Philipp Koehn, Andy Way, Yulin Yuan, Shuming Shi
2023 A conf
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.
EACL
Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen
2023 A* conf
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models.
ICLR
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
2023 J jnl
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning.
CoRR
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2023 A* conf
More Than Spoken Words: Nonverbal Message Extraction and Generation.
EMNLP
Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu
2023 J jnl
OpenFact: Factuality Enhanced Open Knowledge Extraction.
Trans. Assoc. Comput. Linguistics
Linfeng Song, Ante Wang, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang, Dong Yu
2023 J jnl
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.
CoRR
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2023 J jnl
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
CoRR
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
2023 — conf
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks.
ACL (Findings)
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
2022 — conf
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.
ACL (2)
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
2022 J jnl
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.
CoRR
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
2022 J jnl
Cross-Lingual Speaker Identification Using Distant Supervision.
CoRR
Ben Zhou, Dian Yu, Dong Yu, Dan Roth
2022 — conf
End-to-End Chinese Speaker Identification.
NAACL-HLT
Dian Yu, Ben Zhou, Dong Yu
2022 — conf
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge.
ACL (1)
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
2022 J jnl
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models.
CoRR
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
2022 — conf
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
ACL (2)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 J jnl
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
CoRR
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 — conf
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
EMNLP (Findings)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
CoRR
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks.
CoRR
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
2022 — conf
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion.
ICDM (Workshops)
Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
2022 J jnl
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion.
CoRR
Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
2021 — conf
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories.
EMNLP (1)
Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
2021 J jnl
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories.
CoRR
Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
2021 J jnl
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data.
CoRR
Dian Yu, Kai Sun, Dong Yu, Claire Cardie
2021 — conf
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data.
EMNLP (Findings)
Dian Yu, Kai Sun, Dong Yu, Claire Cardie
2020 B conf
CLUE: A Chinese Language Understanding Evaluation Benchmark.
COLING
Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan
2020 J jnl
CLUE: A Chinese Language Understanding Evaluation Benchmark.
CoRR
Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan
2020 A* conf
Dialogue-Based Relation Extraction.
ACL
Dian Yu, Kai Sun, Claire Cardie, Dong Yu
2020 J jnl
Dialogue-Based Relation Extraction.
CoRR
Dian Yu, Kai Sun, Claire Cardie, Dong Yu
2020 J jnl
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge.
CoRR
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
2020 J jnl
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension.
Trans. Assoc. Comput. Linguistics
Kai Sun, Dian Yu, Dong Yu, Claire Cardie
2020 A* conf
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization.
AAAI
Yue Cao, Xiaojun Wan, Jin-Ge Yao, Dian Yu
2020 A* conf
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.
ACL
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
2020 J jnl
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.
CoRR
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
2019 J jnl
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.
CoRR
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
2019 J jnl
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.
Trans. Assoc. Comput. Linguistics
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
2019 B conf
Evidence Sentence Extraction for Machine Reading Comprehension.
CoNLL
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth
2019 J jnl
Evidence Sentence Extraction for Machine Reading Comprehension.
CoRR
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester
2019 — conf
Improving Machine Reading Comprehension with General Reading Strategies.
NAACL-HLT (1)
Kai Sun, Dian Yu, Dong Yu, Claire Cardie
2019 B conf
Improving Pre-Trained Multilingual Model with Vocabulary Expansion.
CoNLL
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2019 J jnl
Improving Pre-Trained Multilingual Models with Vocabulary Expansion.
CoRR
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2019 — conf
Improving Question Answering with External Knowledge.
MRQA@EMNLP
Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu
2019 J jnl
Improving Question Answering with External Knowledge.
CoRR
Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu
2019 J jnl
Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension.
CoRR
Kai Sun, Dian Yu, Dong Yu, Claire Cardie
2019 J jnl
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach.
CoRR
Shiyang Li, Jianshu Chen, Dian Yu
2018 J jnl
Improving Machine Reading Comprehension with General Reading Strategies.
CoRR
Kai Sun, Dian Yu, Dong Yu, Claire Cardie
2017 — conf
Open Relation Extraction and Grounding.
IJCNLP(1)
Dian Yu, Lifu Huang, Heng Ji
2017 — —
Unsupervised graph-based relation extraction and validation for knowledge base population.
Dian Yu
2016 — conf
RPI BLENDER TAC-KBP2016 System Description.
TAC
Dian Yu, Xiaoman Pan, Boliang Zhang, Lifu Huang, Di Lu, Spencer Whitehead, Heng Ji
2016 — conf
Unsupervised Person Slot Filling based on Graph Mining.
ACL (1)
Dian Yu, Heng Ji
2015 — conf
Detecting Deceptive Groups Using Conversations and Network Analysis.
ACL (1)
Dian Yu, Yulia Tyshchuk, Heng Ji, William A. Wallace
2015 A* conf
Modeling Truth Existence in Truth Discovery.
KDD
Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han
2015 — conf
RPI BLENDER TAC-KBP2015 System Description.
TAC
Yu Hong, Di Lu, Dian Yu, Xiaoman Pan, Xiaobin Wang, Yadong Chen, Lifu Huang, Heng Ji
2015 — conf
Why Read if You Can Scan? Trigger Scoping Strategy for Biographical Fact Extraction.
HLT-NAACL
Dian Yu, Heng Ji, Sujian Li, Chin-Yew Lin
2014 B conf
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding.
COLING
Dian Yu, Hongzhao Huang, Taylor Cassidy, Heng Ji, Chi Wang, Shi Zhi, Jiawei Han, Clare R. Voss, Malik Magdon-Ismail
2013 — conf
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System.
TAC
Dian Yu, Haibo Li, Taylor Cassidy, Qi Li, Hongzhao Huang, Zheng Chen, Heng Ji, Yongzhong Zhang, Dan Roth
2013 — conf
Resolving Entity Morphs in Censored Data.
ACL (1)
Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han, He Li