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Reranking

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Showing 251–300 of 586 papers

TitleStatusHype
Char2char Generation with Reranking for the E2E NLG Challenge—0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems—0
Citations as Queries: Source Attribution Using Language Models as Rerankers—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs—0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
Coherent Dialogue with Attention-based Language Models—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Combination of Neural Machine Translation Systems at WMT20—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts—0
Complementing Lexical Retrieval with Semantic Residual Embedding—0
Comprehensive List Generation for Multi-Generator Reranking—0
Concept-Based Embeddings for Natural Language Processing—0
Concept-to-text Generation via Discriminative Reranking—0
Congruency-Based Reranking—0
Consecutive Question Generation via Dynamic Multitask Learning—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Context-aware Reranking with Utility Maximization for Recommendation—0
Context-Aware Text Normalisation for Historical Dialects—0
Continuous Active Learning Using Pretrained Transformers—0
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding—0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings—0
Cross-language Learning with Adversarial Neural Networks—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition—0
Cross-utterance ASR Rescoring with Graph-based Label Propagation—0
damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification—0
Developing a Meta-suggestion Engine for Search Queries—0
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs—0
Direct Learning to Rank and Rerank—0
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking—0
Discrete Conditional Diffusion for Reranking in Recommendation—0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation—0
Discriminative Reranking for Neural Machine Translation—0
Discriminative Reranking of Discourse Parses Using Tree Kernels—0
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model—0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?—0
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
Double Retrieval and Ranking for Accurate Question Answering—0
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