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TitleStatusHype
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine TranslationCode0
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security ResearchCode1
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models0
Multi-Attribute Linguistic Tuning for Controlled Paraphrase Generation0
Phrase Decoupling Cross-Modal Hierarchical Matching and Progressive Position Correction for Visual GroundingCode0
Tiny Transformers Excel at Sentence Compression0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment0
Graph-Augmented Relation Extraction Model with LLMs-Generated Support Document0
VPO: Leveraging the Number of Votes in Preference OptimizationCode0
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models0
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine TranslationCode1
Are BabyLMs Second Language Learners?0
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings0
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning0
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow ExtractionCode1
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation0
Dialectal and Low-Resource Machine Translation for Aromanian0
Advancing Interpretability in Text Classification through Prototype Learning0
Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement LearningCode0
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts0
KatzBot: Revolutionizing Academic Chatbot for Enhanced CommunicationCode0
Principles of semantic and functional efficiency in grammatical patterning0
A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles0
Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context0
AutoTrain: No-code training for state-of-the-art modelsCode7
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