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Showing 26–50 of 586 papers

TitleStatusHype
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
GRADA: Graph-based Reranker against Adversarial Documents AttackCode0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized RecommendationsCode0
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
Comprehensive List Generation for Multi-Generator Reranking—0
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling EvaluatorsCode0
KGMEL: Knowledge Graph-Enhanced Multimodal Entity LinkingCode1
Iterative Self-Training for Code Generation via Reinforced Re-Ranking—0
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking—0
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text GenerationCode1
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
Automating Personalization: Prompt Optimization for Recommendation Reranking—0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models—0
Towards Carbon Footprint-Aware Recommender Systems for Greener Item RecommendationCode0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
OSCAR: Online Soft Compression And Reranking—0
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models—0
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode14
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