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Retrieval-augmented Generation

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TitleStatusHype
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications—0
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data—0
Towards reducing hallucination in extracting information from financial reports using Large Language Models—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Towards Requirements Engineering for RAG Systems—0
Towards Retrieval Augmented Generation over Large Video Libraries—0
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability—0
Towards Understanding Retrieval Accuracy and Prompt Quality in RAG Systems—0
Towards Unlocking Insights from Logbooks Using AI—0
TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules—0
TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator—0
Traceback of Poisoning Attacks to Retrieval-Augmented Generation—0
T-RAG: Lessons from the LLM Trenches—0
Training Plug-n-Play Knowledge Modules with Deep Context Distillation—0
Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model—0
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation—0
Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data—0
TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching—0
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack—0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking—0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders—0
Trustworthy Answers, Messier Data: Bridging the Gap in Low-Resource Retrieval-Augmented Generation for Domain Expert Systems—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
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