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Showing 51–75 of 111 papers

TitleStatusHype
Uncovering differential equations from data with hidden variables—0
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction—0
Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes—0
Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals—0
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?—0
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions—0
On the Importance of Delexicalization for Fact Verification—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
Dynamic sizing of required balancing capacities: the operational approach in France—0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English—0
ESNLIR: A Spanish Multi-Genre Dataset with Causal Relationships—0
Evaluating Paraphrastic Robustness in Textual Entailment Models—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
Generating Contradictory, Neutral, and Entailing Sentences—0
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE—0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach—0
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding—0
In-context KV-Cache Eviction for LLMs via Attention-Gate—0
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework—0
Inherent Disagreements in Human Textual Inferences—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
Introducing machine learning for power system operation support—0
Learning to Make Inferences in a Semantic Parsing Task—0
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