SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 5851–5900 of 10817 papers

TitleStatusHype
Identifying the Provision of Choices in Privacy Policy Text—0
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
Conversational Question Answering on Heterogeneous Sources—0
LLM aided semi-supervision for Extractive Dialog Summarization—0
LLM as A Robotic Brain: Unifying Egocentric Memory and Control—0
Domain-Transferable Method for Named Entity Recognition Task—0
LLM-based Discriminative Reasoning for Knowledge Graph Question Answering—0
LLM-based Extraction of Contradictions from Patents—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
Measuring Machine Intelligence Through Visual Question Answering—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge—0
LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering—0
Identifying Purpose Behind Electoral Tweets—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
Identifying Participation of Individual Verbs or VerbNet Classes in the Causative Alternation—0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
Identifying Nuggets of Information in GALE Distillation Evaluation—0
Identifying Constant and Unique Relations by using Time-Series Text—0
Conversational Question Answering: A Survey—0
A temporal expression recognition system for medical documents by—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—0
LLMs to Support a Domain Specific Knowledge Assistant—0
Identifying Causal Relations Using Parallel Wikipedia Articles—0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Identification of Temporal Event Relationships in Biographical Accounts—0
Identification of Alias Links among Participants in Narratives—0
Conversational QA Dataset Generation with Answer Revision—0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
MCQA: Multimodal Co-attention Based Network for Question Answering—0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling—0
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures—0
Conversational Machine Comprehension: a Literature Review—0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified