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Showing 1–50 of 111 papers

TitleStatusHype
Finetuned Language Models Are Zero-Shot LearnersCode3
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionCode2
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence RepresentationsCode1
DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal PropagationCode1
Content-aware Scalable Deep Compressed SensingCode1
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingCode1
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningCode1
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge DesignCode1
Relation-Guided Few-Shot Relational Triple ExtractionCode1
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)Code1
FLUTE: Figurative Language Understanding through Textual ExplanationsCode1
DReg-NeRF: Deep Registration for Neural Radiance FieldsCode1
CT-ICP: Real-time Elastic LiDAR Odometry with Loop ClosureCode1
On the Importance of Delexicalization for Fact Verification—0
An Automatic and Efficient BERT Pruning for Edge AI Systems—0
Learning to Make Inferences in a Semantic Parsing Task—0
Can Pre-trained Models Really Generate Single-Step Textual Entailment?—0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework—0
A Logic-based Approach for Recognizing Textual Entailment Supported by Ontological Background Knowledge—0
Learning to run a power network challenge for training topology controllers—0
Inherent Disagreements in Human Textual Inferences—0
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework—0
Generating Contradictory, Neutral, and Entailing Sentences—0
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading—0
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining—0
Deep Generative Methods for Producing Forecast Trajectories in Power Systems—0
Deep Online Correction for Monocular Visual Odometry—0
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
Evaluating Paraphrastic Robustness in Textual Entailment Models—0
ADMM Based Semi-Structured Pattern Pruning Framework For Transformer—0
In-context KV-Cache Eviction for LLMs via Attention-Gate—0
Introducing machine learning for power system operation support—0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English—0
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning—0
Acquisition of Phrase Correspondences using Natural Deduction Proofs—0
Dynamic sizing of required balancing capacities: the operational approach in France—0
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
ESNLIR: A Spanish Multi-Genre Dataset with Causal Relationships—0
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference—0
FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE—0
Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment—0
Cross-Architecture Distillation Using Bidirectional CMOW Embeddings—0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE—0
Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0—0
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