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 3651–3700 of 10817 papers

TitleStatusHype
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEsCode1
SEMQA: Semi-Extractive Multi-Source Question AnsweringCode1
Massive Editing for Large Language Models via Meta LearningCode1
Zero-shot Translation of Attention Patterns in VQA Models to Natural LanguageCode0
LooGLE: Can Long-Context Language Models Understand Long Contexts?Code1
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
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
Active Reasoning in an Open-World Environment—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
Modular Blended Attention Network for Video Question Answering—0
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency—0
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life VideosCode0
Long Story Short: a Summarize-then-Search Method for Long Video Question AnsweringCode0
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism—0
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation—0
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering—0
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities—0
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design—0
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering—0
Split-NER: Named Entity Recognition via Two Question-Answering-based ClassificationsCode1
Harvest Video Foundation Models via Efficient Post-Pretraining—0
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering—0
Generating Context-Aware Natural Answers for Questions in 3D ScenesCode0
EHRTutor: Enhancing Patient Understanding of Discharge Instructions—0
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
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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