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How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language QuestionsCode0
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language ModelsCode0
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style TransferCode0
Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement PredictionCode0
Multi Sentence Description of Complex Manipulation Action Videos—0
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models—0
Large Language Models' Understanding of Math: Source Criticism and Extrapolation—0
What factors influence the popularity of user-generated text in the creative domain? A case study of book reviews—0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Robust Text Classification: Analyzing Prototype-Based NetworksCode0
Ontology Learning Using Formal Concept Analysis and WordNet—0
Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder—0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
FAMuS: Frames Across Multiple SourcesCode0
Human Conditional Reasoning in Answer Set Programming—0
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
Validating ChatGPT Facts through RDF Knowledge Graphs and Sentence Similarity—0
Towards Effective Paraphrasing for Information DisguiseCode0
Sparse Contrastive Learning of Sentence Embeddings—0
Character-Level Bangla Text-to-IPA Transcription Using Transformer Architecture with Sequence Alignment—0
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training—0
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value ExtractionCode0
Uncovering Intermediate Variables in Transformers using Circuit ProbingCode0
Input Reconstruction Attack against Vertical Federated Large Language Models—0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
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