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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
Could Thinking Multilingually Empower LLM Reasoning?Code0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4—0
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQACode0
Zero-Shot End-To-End Spoken Question Answering In Medical Domain—0
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language ModelsCode1
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarksCode2
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality EvaluationCode0
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