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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 1–50 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
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic ClusteringCode1
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
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
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair ModelingCode0
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language DebiasingCode0
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the ArtCode0
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection—0
Solution of DeBERTaV3 on CommonsenseQACode0
DEIM: An effective deep encoding and interaction model for sentence matching—0
Question-Answer Sentence Graph for Joint Modeling Answer Selection—0
Double Retrieval and Ranking for Accurate Question Answering—0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
PerCQA: Persian Community Question Answering Dataset—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
A Multi-Size Neural Network with Attention Mechanism for Answer Selection—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
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