SOTAVerified

Reranking

Papers

Showing 101–125 of 586 papers

TitleStatusHype
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence ModelsCode1
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic ParsingCode1
Rider: Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
Answering Open-Domain Questions of Varying Reasoning Steps from TextCode1
PARADE: Passage Representation Aggregation for Document RerankingCode1
Conformer-Kernel with Query Term Independence for Document RetrievalCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Cost-effective Interactive Attention Learning with Neural Attention ProcessesCode1
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural RankingCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic FidelityCode1
TREC CAsT 2019: The Conversational Assistance Track OverviewCode1
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding NetworkCode1
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019Code1
Efficiency-Effectiveness Reranking FLOPs for LLM-based RerankersCode0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—0
JointRank: Rank Large Set with Single PassCode0
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation—0
AI Assistants to Enhance and Exploit the PETSc Knowledge Base—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering—0
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
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