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Reranking

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Showing 151–200 of 586 papers

TitleStatusHype
Towards Carbon Footprint-Aware Recommender Systems for Greener Item RecommendationCode0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models—0
OSCAR: Online Soft Compression And Reranking—0
MultiConIR: Towards multi-condition Information RetrievalCode0
Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Passage Query Methods for Retrieval and Reranking in Conversational Agents—0
From Retrieval to Generation: Comparing Different Approaches—0
Pragmatic Reasoning improves LLM Code Generation—0
Early-Exit and Instant Confidence Translation Quality EstimationCode0
FaMTEB: Massive Text Embedding Benchmark in Persian Language—0
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models—0
Gumbel Reranking: Differentiable End-to-End Reranker Optimization—0
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection—0
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems—0
Repository-level Code Search with Neural Retrieval MethodsCode0
Hypencoder: Hypernetworks for Information Retrieval—0
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models—0
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking—0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection—0
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal ModelsCode0
ListConRanker: A Contrastive Text Reranker with Listwise Encoding—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation—0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
State Space Models are Strong Text Rerankers—0
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers—0
On the Structural Memory of LLM AgentsCode0
Let your LLM generate a few tokens and you will reduce the need for retrieval—0
BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language—0
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning—0
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering—0
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks—0
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search—0
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events—0
Drowning in Documents: Consequences of Scaling Reranker Inference—0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
A Bayesian Optimization Approach to Machine Translation RerankingCode0
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models—0
An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking—0
Self-Calibrated Listwise Reranking with Large Language Models—0
QUILL: Quotation Generation Enhancement of Large Language ModelsCode0
Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question ClassificationCode0
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