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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 11–20 of 171 papers

TitleStatusHype
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsCode0
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models—0
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References—0
Solving Math Word Problem with Problem Type ClassificationCode0
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix ProblemsCode0
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues—0
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge—0
Getting MoRE out of Mixture of Language Model Reasoning Experts—0
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