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 3651–3675 of 10817 papers

TitleStatusHype
Prompt Sketching for Large Language Models—0
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEsCode1
Massive Editing for Large Language Models via Meta LearningCode1
Zero-shot Translation of Attention Patterns in VQA Models to Natural LanguageCode0
SEMQA: Semi-Extractive Multi-Source Question AnsweringCode1
Leveraging Structured Information for Explainable Multi-hop Question Answering and ReasoningCode0
Prompt Cache: Modular Attention Reuse for Low-Latency InferenceCode1
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value ExtractionCode0
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
Adapting Pre-trained Generative Models for Extractive Question Answering—0
Tailoring Self-Rationalizers with Multi-Reward DistillationCode0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly DetectionCode1
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval—0
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMsCode0
Causal Question Answering with Reinforcement LearningCode0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
Perturbation-based Active Learning for Question Answering—0
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology—0
Active Reasoning in an Open-World Environment—0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check ConsistencyCode1
Effective Human-AI Teams via Learned Natural Language Rules and OnboardingCode1
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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