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 3226–3250 of 10817 papers

TitleStatusHype
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question AnsweringCode0
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected CompressorCode0
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
Language models are better than humans at next-token predictionCode0
Learning Musical Representations for Music Performance Question AnsweringCode0
KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) TasksCode0
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
KaggleDBQA: Realistic Evaluation of Text-to-SQL ParsersCode0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
OptLLM: Optimal Assignment of Queries to Large Language ModelsCode0
Order-Planning Neural Text Generation From Structured DataCode0
Data-driven Approach for Quality Evaluation on Knowledge Sharing PlatformCode0
Data Distribution Bottlenecks in Grounding Language Models to Knowledge BasesCode0
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QACode0
Efficient Encoder-Decoder Transformer Decoding for Decomposable TasksCode0
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value ExtractionCode0
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken DialogueCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityCode0
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
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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