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Reranking

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Showing 201–250 of 586 papers

TitleStatusHype
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models—0
A Representation Theory for Ranking Functions—0
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking—0
Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages—0
Enhancing Relevance of Embedding-based Retrieval at Walmart—0
Citations as Queries: Source Attribution Using Language Models as Rerankers—0
First the worst: Finding better gender translations during beam search—0
Forest Reranking through Subtree Ranking—0
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation—0
Accurate Knowledge Distillation with n-best Reranking—0
Iterative Self-Training for Code Generation via Reinforced Re-Ranking—0
From Retrieval to Generation: Comparing Different Approaches—0
From Words to Code: Harnessing Data for Program Synthesis from Natural Language—0
Frugal neural reranking: evaluation on the Covid-19 literature—0
Consecutive Question Generation via Dynamic Multitask Learning—0
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models—0
Generating Scientific Definitions with Controllable Complexity—0
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking—0
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems—0
End-to-end Learnable Diversity-aware News Recommendation—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition—0
Encoding Semantic Resources in Syntactic Structures for Passage Reranking—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
Enabling arbitrary translation objectives with Adaptive Tree Search—0
Continuous Active Learning Using Pretrained Transformers—0
Embedding-based Recommender System for Job to Candidate Matching on Scale—0
GRN: Generative Rerank Network for Context-wise Recommendation—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
GTCOM Neural Machine Translation Systems for WMT19—0
Gumbel Reranking: Differentiable End-to-End Reranker Optimization—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling—0
Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
A Case Based Reasoning Approach for Answer Reranking in Question Answering—0
Introducing the IMS-Wroc -Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled Data—0
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks—0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics—0
Efficient Stacked Dependency Parsing by Forest Reranking—0
Hypencoder: Hypernetworks for Information Retrieval—0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation—0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques—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
Char2char Generation with Reranking for the E2E NLG Challenge—0
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