https://github.com/SriramPingali/MagBERT
공식 코드Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
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Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
Contextualized Semantic Distance between Highly Overlapped Texts
Repurposing Entailment for Multi-Hop Question Answering Tasks
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
Exploiting Temporal Relationships in Video Moment Localization with Natural Language
Posterior Calibrated Training on Sentence Classification Tasks
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
Improving Back-Translation with Uncertainty-based Confidence Estimation
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Document-level Claim Extraction and Decontextualisation for Fact-Checking
Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations
Evaluation Discrepancy Discovery: A Sentence Compression Case-study
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.