Conversational Question Answering
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Benchmarks
ConvFinQA
Most implemented
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
CoQA: A Conversational Question Answering Challenge
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
PCoQA: Persian Conversational Question Answering Dataset
Papers
Adesua: Development and Feasibility Study of an AI WhatsApp Bot for Science Learning in West Africa
Sub-Saharan Africa faces persistently high student-teacher ratios and shortages of qualified teachers, limiting students' access to personalized learning support and formative assessment. To address this challenge, we pr…
Conversational Question AnsweringComprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
Conversational question answering increasingly relies on retrieval-augmented generation (RAG) to ground large language models (LLMs) in external knowledge. Yet, most existing studies evaluate RAG methods in isolation and…
Conversational Question AnsweringAnswer GenerationPlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
Long-term memory is essential for large language model (LLM) agents operating in complex environments, yet existing memory designs are either task-specific and non-transferable, or task-agnostic but less effective due to…
Conversational Question AnsweringBenchmarking Contextual Understanding for In-Car Conversational Systems
In-Car Conversational Question Answering (ConvQA) systems significantly enhance user experience by enabling seamless voice interactions. However, assessing their accuracy and reliability remains a challenge. This paper e…
Conversational Question AnsweringSEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
Knowledge-based conversational question answering (KBCQA) confronts persistent challenges in resolving coreference, modeling contextual dependencies, and executing complex logical reasoning. Existing approaches often suf…
Conversational Question AnsweringComputational EfficiencyLogical ReasoningKnowledge GraphsChatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs
Conversational Question Answering over Knowledge Graphs (KGs) combines the factual grounding of KG-based QA with the interactive nature of dialogue systems. KGs are widely used in enterprise and domain applications to pr…
Conversational Question AnsweringNatural QuestionsKnowledge Graphs