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Conversational Question Answering
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
Few-shot Policy (de)composition in Conversational Question Answering
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
PCQPR: Proactive Conversational Question Planning with Reflection
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA
Conversational Query Reformulation with the Guidance of Retrieved Documents
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models
Consistency Training by Synthetic Question Generation for Conversational Question Answering
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
Reinforcement Learning for Conversational Question Answering over Knowledge Graph
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
Conversational Question Answering with Reformulations over Knowledge Graph
PCoQA: Persian Conversational Question Answering Dataset
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources
GLaMM: Pixel Grounding Large Multimodal Model
EHRTutor: Enhancing Patient Understanding of Discharge Instructions
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