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 7401–7450 of 10817 papers

TitleStatusHype
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly—0
AmQA: Amharic Question Answering Dataset—0
Grounding LLM Reasoning with Knowledge Graphs—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Grounding Complex Navigational Instructions Using Scene Graphs—0
Piece of Table: A Divide-and-Conquer Approach for Selecting Sub-Tables in Table Question Answering—0
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters—0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
Grounding Answers for Visual Questions Asked by Visually Impaired People—0
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests—0
Computing Word Classes Using Spectral Clustering—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Computing Semantic Text Similarity Using Rich Features—0
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision—0
A Dataset of Open-Domain Question Answering with Multiple-Span Answers—0
Exploring the Viability of Synthetic Query Generation for Relevance Prediction—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
PIXAR: Auto-Regressive Language Modeling in Pixel Space—0
Pre-training Language Models with Deterministic Factual Knowledge—0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering—0
Grounded Word Sense Translation—0
Grounded Semantic Role Labeling—0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery—0
Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar—0
Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined—0
Grounded Semantic Parsing for Complex Knowledge Extraction—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
Computational Approaches to Sentence Completion—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Playing Lottery Tickets with Vision and Language—0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
PLIS: a Probabilistic Lexical Inference System—0
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray—0
Compressing Visual-linguistic Model via Knowledge Distillation—0
Plug-and-Play Training Framework for Preference Optimization—0
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance—0
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation—0
A Study into Investigating Temporal Robustness of LLMs—0
PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering—0
A Model of Vietnamese Person Named Entity Question Answering System—0
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions—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