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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 1–25 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
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
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementCode0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
Leveraging Large Language Models for Multiple Choice Question AnsweringCode1
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair ModelingCode0
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the ArtCode0
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