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Answer Selection

Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.

Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection

Papers

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Showing 1–10 of 171 papers

TitleStatusHype
FinBERT-QA: Financial Question Answering with pre-trained BERT Language ModelsCode2
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarksCode2
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language ModelsCode1
Leveraging Large Language Models for Multiple Choice Question AnsweringCode1
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
CICERO: A Dataset for Contextualized Commonsense Inference in DialoguesCode1
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
Utilizing Bidirectional Encoder Representations from Transformers for Answer SelectionCode1
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive ScaleCode1
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