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Di Yin

RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
2022 · Yuan Liang, Zhuoxuan Jiang, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 39
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OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation
2023 · Ye Liu, Lingfeng Qiao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 15
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation
2023 · Lu, Junru, An, Siyu, et al. · arXiv (Cornell University) · 6
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Grafting Pre-trained Models for Multimodal Headline Generation
2022 · Lingfeng Qiao, Chen Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation
2025 · Xiao, Yilin, Dong, Junnan, et al. · arXiv (Cornell University) · 2
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Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts
2025 · Yifei Yu, Qian-Wen Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models
2024 · Zhao, Shujuan, Qiao, Lingfeng, et al. · arXiv (Cornell University) · 2
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Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
2022 · Jiang, Zhuoxuan, Qiao, Lingfeng, et al. · arXiv (Cornell University) · 2
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Toward Native Multimodal Modeling: A Roadmap
2026 · Siyu An, Junru Lu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Let’s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
2025 · Kangyang Luo, Zichen Ding, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data
2024 · Zhang, Qian-Wen, Wang, Haochen, et al. · arXiv (Cornell University) · 1
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Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
2023 · Zhao, Zhen, Liu, Ye, et al. · arXiv (Cornell University) · 1
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Unsupervised Extractive Summarization With Heterogeneous Graph Embeddings for Chinese Documents
2023 · Chen Lin, Ye Liu, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 1
VKIE: The Application of Key Information Extraction on Video Text
2023 · Siyu An, Ye Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Contrastive Graph Multimodal Model for Text Classification in Videos
2022 · Liu, Ye, Lu, Changchong, et al. · arXiv (Cornell University) · 1
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Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities
2026 · Shen, Yunhang, Chen, Zhangquan, et al. · arXiv (Cornell University)
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Communication-Efficient Federated Domain Generalization in Edge Networks via Dynamic Prototype Regulation
2026 · Xia, Yuankun, Wang, Hui, et al. · arXiv (Cornell University)
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Self-Distillation with Verbal Regularization
2026 · Li, Jiazheng, Li, Yawei, et al. · arXiv (Cornell University)
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MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
2026 · Yuan, Zheng, Zhou, Chuang, et al. · arXiv (Cornell University)
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Deep Tabular Research via Continual Experience-Driven Execution
2026 · Dong, Junnan, Zhou, Chuang, et al. · arXiv (Cornell University)
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ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution
2026 · Huang, Junjie, Qin, Jiarui, et al. · arXiv (Cornell University)
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Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision
2026 · Wei, Zhixiang, Li, Yi, et al. · arXiv (Cornell University)
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TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning
2026 · Liu, Daixian, Kuang, Jiayi, et al. · arXiv (Cornell University)
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Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG
2026 · Chuang Zhou, Zheng Yuan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Query-Aware Knowledge Retrieval via Hyperbolic Structuring
2026 · Chuang Zhou, Junnan Dong, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 30
Citation count: 80
H-index: 4
I10-index: 2
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