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Answer Generation

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Showing 101–150 of 280 papers

TitleStatusHype
A Conditional Generative Chatbot using Transformer Model—0
Adaptive Artificial Intelligent Q&A Platform—0
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering—0
AgentRM: Enhancing Agent Generalization with Reward Modeling—0
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time—0
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
An Online Question Answering System based on Sub-graph Searching—0
Answer Generation for Questions With Multiple Information Sources in E-Commerce—0
Answer Generation for Retrieval-based Question Answering Systems—0
Answer Generation through Unified Memories over Multiple Passages—0
Applying Information Extraction to Storybook Question and Answer Generation—0
Approche de g\'en\'eration de r\'eponse \`a base de transformers (Transformer based approach for answer generation)—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
A Survey of Large Language Model Agents for Question Answering—0
A Survey on Large Language Models for Mathematical Reasoning—0
A Survey on Machine Reading Comprehension Systems—0
Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations—0
A Unified Abstractive Model for Generating Question-Answer Pairs—0
Automatic Question-Answer Generation for Long-Tail Knowledge—0
Automating Reading Comprehension by Generating Question and Answer Pairs—0
Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations—0
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs—0
BR-TaxQA-R: A Dataset for Question Answering with References for Brazilian Personal Income Tax Law, including case law—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making—0
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering—0
CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs—0
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs—0
Conclusion-Supplement Answer Generation for Non-Factoid Questions—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Context Embeddings for Efficient Answer Generation in RAG—0
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context—0
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering—0
Conversational QA Dataset Generation with Answer Revision—0
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling—0
Evaluating Question Answering Evaluation—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
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