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Showing 351–400 of 743 papers

TitleStatusHype
Distillation Strategies for Discriminative Speech Recognition Rescoring—0
Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
Divide and Fuse: A Re-ranking Approach for Person Re-identification—0
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation—0
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce—0
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion—0
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation—0
Dual Embedding Expansion for Vehicle Re-identification—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking—0
Efficient Document Ranking with Learnable Late Interactions—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition—0
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval—0
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval—0
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking—0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining—0
Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications—0
Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking—0
Ensuring User-side Fairness in Dynamic Recommender Systems—0
Entity Linking via Explicit Mention-Mention Coreference Modeling—0
Entity Summarization: State of the Art and Future Challenges—0
Evaluating Embedding APIs for Information Retrieval—0
Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base—0
Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions—0
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond—0
Exploring and Exploiting Diversity for Image Segmentation—0
Facebook AI's WAT19 Myanmar-English Translation Task Submission—0
Fairness-Aware Explainable Recommendation over Knowledge Graphs—0
Quality-Aware Decoding: Unifying Quality Estimation and Decoding—0
Query by String word spotting based on character bi-gram indexing—0
Query Expansion for Cross-Language Question Re-Ranking—0
Query Exposure Prediction for Groups of Documents in Rankings—0
Querying Across Genres for Medical Claims in News—0
Query Term Weighting based on Query Performance Prediction—0
RAG-based Question Answering over Heterogeneous Data and Text—0
RAGUEL: Recourse-Aware Group Unfairness Elimination—0
Ranking Distance Calibration for Cross-Domain Few-Shot Learning—0
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains—0
Real-time Short Video Recommendation on Mobile Devices—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
RECOST: External Knowledge Guided Data-efficient Instruction Tuning—0
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
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