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RAGSmith: Optimizing Retrieval-Augmented Generation for Diverse Data Domains

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Estimating Causal Effects with Hidden Factors Across Different Environments

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CustomIR: Enhancing Information Retrieval for Specialized Datasets with Unsupervised Fine-Tuning

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GALA: A Smart Strategy for Adapting AI Models Across Diverse Data Sources

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Adaptive Prediction for Self-Evolving AI: Quantifying LLM Confidence

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Predicting Language Model Adaptation Performance Across Pre-Training Stages

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EGO-Prompt: Automating LLM Adaptation for Specialized Tasks with Evolving Domain Knowledge

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Adapting Language Models to New Domains with Instruction-Knowledge-Aware Continual Pretraining

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Enhancing AI Language Models for Specialized Domains with MOSAIC

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Advancing Emotion Recognition from Brain Signals with a New Deep Learning Framework

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Navigating Evolving Data: A New Approach to Gradual Domain Adaptation

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Navigating Data Differences: A Look at Domain Adaptation and Generative Adversarial Networks

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SYTTA: Adapting Large Language Models to New Domains Without Labeled Data

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Advancing Object Detection Without Source Data: A New Framework for DETR Models

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Generating Robust AI Models: How Uncertainty Guides Synthetic Data Creation

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Fine-Tuning LLMs: Detecting and Reducing Training Data Memorization

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Boosting Smaller Language Models for Business Conversations with DACIP-RC

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GRAIL: Leveraging Large Language Models for Source-Free Graph Adaptation

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Enhancing LLM Performance for Business Conversation Summarization with Domain-Adaptive Pre-Training

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TokenChain: Unlocking Efficient Speech AI with Discrete Semantic Tokens

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Boosting AI Performance and Cutting Costs with MHA-RAG Soft Prompts

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Enhancing Data Aggregation: Gradient Flows for Scalable Wasserstein Barycenters

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REFEREE: Learning Continuously Across Domains Without Relying on Source Data

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Bridging Large Language Models with Enterprise Data: A Multidisciplinary Approach

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NePTune: A Neuro-Symbolic Framework for Advanced Vision-Language Reasoning

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FedFusion: A New Framework for Adaptive Federated Learning in Diverse Data Environments

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CoPiC: Enhancing AI Agent Planning with Adaptive Programs and Critics

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Enhancing Arabic Sentiment Analysis: A Deep Dive into Domain Adaptation and Fine-Tuning

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Unlocking Universal Domain Adaptation with Label Space Alignment

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Enhancing YOLO’s Reliability for Underwater Object Detection

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