Cover Image

COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duan, Zhichao, Pan, Tengyu, Li, Zhenyu, Li, Xiuxing, Wang, Jianyong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
by: Pan, Tengyu, et al.
Published: (2025)

Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
by: Li, Zhenyu, et al.
Published: (2022)

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
by: Li, Zhenyu, et al.
Published: (2023)

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding
by: Wang, Ziyu, et al.
Published: (2025)

FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
by: Li, Zhenyu, et al.
Published: (2024)

Efficient Attention Mechanisms for Large Language Models: A Survey
by: Sun, Yutao, et al.
Published: (2025)

Maximum Score Routing For Mixture-of-Experts
by: Dong, Bowen, et al.
Published: (2025)

LLM with Relation Classifier for Document-Level Relation Extraction
by: Li, Xingzuo, et al.
Published: (2024)

TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
by: Liu, Longxiang, et al.
Published: (2024)

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
by: Meng, Shiao, et al.
Published: (2024)

Consistent Document-Level Relation Extraction via Counterfactuals
by: Modarressi, Ali, et al.
Published: (2024)

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
by: Wang, Ye, et al.
Published: (2023)

TTM-RE: Memory-Augmented Document-Level Relation Extraction
by: Gao, Chufan, et al.
Published: (2024)

Document-Level Zero-Shot Relation Extraction with Entity Side Information
by: Chanthran, Mohan Raj, et al.
Published: (2026)

DOREMI: Optimizing Long Tail Predictions in Document-Level Relation Extraction
by: Menotti, Laura, et al.
Published: (2026)

Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer
by: Ma, Youmi, et al.
Published: (2024)

REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
by: Bouziani, Nacime, et al.
Published: (2024)

CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
by: Tran, Khai Phan, et al.
Published: (2025)

Are Triggers Needed for Document-Level Event Extraction?
by: Shaar, Shaden, et al.
Published: (2024)

FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
by: Zhu, Xudong, et al.
Published: (2024)

AutoRE: Document-Level Relation Extraction with Large Language Models
by: Xue, Lilong, et al.
Published: (2024)

GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction
by: Coman, Andrei C., et al.
Published: (2023)

Knowledge Augmented Entity and Relation Extraction for Legal Documents with Hypergraph Neural Network
by: Wu, Binglin, et al.
Published: (2026)

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
by: Liu, Wanlong, et al.
Published: (2024)

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
by: Zhang, Qi, et al.
Published: (2024)

A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
by: Martinelli, Marco, et al.
Published: (2026)

TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
by: Zhang, Yu, et al.
Published: (2024)

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
by: Wang, Zimu, et al.
Published: (2024)

Representation Learning for Weakly Supervised Relation Extraction
by: Li, Zhuang
Published: (2021)

GIFT: Group-Relative Implicit Fine-Tuning Integrates GRPO with DPO and UNA
by: Wang, Zhichao
Published: (2025)

SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
by: Djuhera, Aladin, et al.
Published: (2025)

Towards a More Generalized Approach in Open Relation Extraction
by: Wang, Qing, et al.
Published: (2025)

Knowledge-Driven Cross-Document Relation Extraction
by: Jain, Monika, et al.
Published: (2024)

HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy
by: Ma, Guoqi, et al.
Published: (2026)

Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
by: Uddin, Md Nayem, et al.
Published: (2024)

TacoERE: Cluster-aware Compression for Event Relation Extraction
by: Guan, Yong, et al.
Published: (2024)

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
by: Duan, Jiaxin, et al.
Published: (2025)

Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023)

Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
by: Swarup, Anushka, et al.
Published: (2024)

GLiDRE: Generalist Lightweight model for Document-level Relation Extraction
by: Armingaud, Robin, et al.
Published: (2025)