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Answer Generation

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TitleStatusHype
Training IBM Watson using Automatically Generated Question-Answer Pairs—0
Training Question Answering Models From Synthetic Data—0
Transfer Learning and Masked Generation for Answer Verbalization—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models—0
Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation—0
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models—0
Video Dialog via Progressive Inference and Cross-Transformer—0
VideoDistill: Language-aware Vision Distillation for Video Question Answering—0
VISA: Retrieval Augmented Generation with Visual Source Attribution—0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
Weakly Supervised Visual Question Answer Generation—0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning—0
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models—0
1-PAGER: One Pass Answer Generation and Evidence Retrieval—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling—0
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
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