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PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs arxiv.org/abs/2405.08839 .DB .AI .CL .LG

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning arxiv.org/abs/2405.08843 .LG .AI .NI

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network arxiv.org/abs/2405.08013 .LG .AI .SI

A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks arxiv.org/abs/2405.08015 .LG .AI

Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics arxiv.org/abs/2405.08017 .LG .AI .CL

AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting arxiv.org/abs/2405.08019 .LG .AI

ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency arxiv.org/abs/2405.08020 .LG .CV

On-the-fly Learning to Transfer Motion Style with Diffusion Models: A Semantic Guidance Approach arxiv.org/abs/2405.06646 .GR .CV

Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm arxiv.org/abs/2405.06652 .CL

Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset arxiv.org/abs/2405.06656 .CL .SI

A categorical account of composition methods in logic (extended version) arxiv.org/abs/2405.06664 .CT .LO

Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech arxiv.org/abs/2405.06665 .CL .IR .LG

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