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Reranking

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Showing 101–150 of 586 papers

TitleStatusHype
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Drowning in Documents: Consequences of Scaling Reranker Inference—0
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
Why These Documents? Explainable Generative Retrieval with Hierarchical Category PathsCode1
Self-Calibrated Listwise Reranking with Large Language Models—0
QUILL: Quotation Generation Enhancement of Large Language ModelsCode0
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question ClassificationCode0
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking—0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented GenerationCode0
Understanding Ranking LLMs: A Mechanistic Analysis for Information Retrieval—0
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence EmbeddingsCode0
CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data DiversityCode1
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option—0
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskCode0
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation—0
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation—0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
Unified Multimodal Interleaved Document Representation for Retrieval—0
PairDistill: Pairwise Relevance Distillation for Dense RetrievalCode1
Enhancing High-order Interaction Awareness in LLM-based Recommender ModelCode1
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation—0
Open-World Evaluation for Retrieving Diverse Perspectives—0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning PerformanceCode2
Expanding on EnCLAP with Auxiliary Retrieval Model for Automated Audio Captioning—0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation—0
DOCE: Finding the Sweet Spot for Execution-Based Code GenerationCode0
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design—0
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and MethodCode0
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems—0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
Review-driven Personalized Preference Reasoning with Large Language Models for RecommendationCode1
Enhancing Relevance of Embedding-based Retrieval at Walmart—0
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential RecommendationCode0
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion—0
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
An Energy-based Model for Word-level AutoCompletion in Computer-aided TranslationCode0
CSCPR: Cross-Source-Context Indoor RGB-D Place RecognitionCode0
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
LitSearch: A Retrieval Benchmark for Scientific Literature SearchCode2
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