SOTAVerified

Conversational Question Answering

Papers

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Showing 1–50 of 142 papers

TitleStatusHype
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
Preference-based Learning with Retrieval Augmented Generation for Conversational Question AnsweringCode0
Few-shot Policy (de)composition in Conversational Question Answering—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language ModelsCode1
Consistency Training by Synthetic Question Generation for Conversational Question AnsweringCode0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question AnsweringCode0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
Reinforcement Learning for Conversational Question Answering over Knowledge Graph—0
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge GraphsCode0
Conversational Question Answering with Reformulations over Knowledge Graph—0
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering—0
PCoQA: Persian Conversational Question Answering DatasetCode1
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM InteractionsCode1
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models—0
On the Robustness of Question Rewriting Systems to Questions of Varying HardnessCode0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources—0
GLaMM: Pixel Grounding Large Multimodal ModelCode2
EHRTutor: Enhancing Patient Understanding of Discharge Instructions—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
Learning to Select the Relevant History Turns in Conversational Question Answering—0
No that's not what I meant: Handling Third Position Repair in Conversational Question AnsweringCode0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive LearningCode0
KL-Divergence Guided Temperature SamplingCode0
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering—0
Large Language Models Need Holistically Thought in Medical Conversational QACode0
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural NetworksCode1
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering—0
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementCode0
Semantic Parsing for Conversational Question Answering over Knowledge GraphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified