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Reranking

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Showing 201–250 of 586 papers

TitleStatusHype
JointRank: Rank Large Set with Single PassCode0
Keyphrase Extraction for N-best Reranking in Multi-Sentence CompressionCode0
Learning Evaluation Models from Large Language Models for Sequence GenerationCode0
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue GenerationCode0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Deep Retrieval: Learning A Retrievable Structure for Large-Scale RecommendationsCode0
Deep Multi Query Image RetrievalCode0
In-Order Transition-based Constituent ParsingCode0
Subword Language Model for Query Auto-CompletionCode0
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question AnsweringCode0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
A Bayesian Optimization Approach to Machine Translation RerankingCode0
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage ResolutionCode0
CSCPR: Cross-Source-Context Indoor RGB-D Place RecognitionCode0
Bags of Local Convolutional Features for Scalable Instance SearchCode0
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary RerankingCode0
Incremental Beam Manipulation for Natural Language GenerationCode0
Towards Trustworthy Reranking: A Simple yet Effective Abstention MechanismCode0
MultiConIR: Towards multi-condition Information RetrievalCode0
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification—0
Cross-language Learning with Adversarial Neural Networks—0
Automating Personalization: Prompt Optimization for Recommendation Reranking—0
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings—0
Hypencoder: Hypernetworks for Information Retrieval—0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks—0
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding—0
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE—0
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models—0
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking—0
Gumbel Reranking: Differentiable End-to-End Reranker Optimization—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
GTCOM Neural Machine Translation Systems for WMT19—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead—0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
A Method of Query Graph Reranking for Knowledge Base Question Answering—0
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics—0
GRN: Generative Rerank Network for Context-wise Recommendation—0
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender—0
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback—0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
Continuous Active Learning Using Pretrained Transformers—0
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
Context-Aware Text Normalisation for Historical Dialects—0
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