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 5001–5050 of 10817 papers

TitleStatusHype
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
A Diachronic Corpus for Romanian (RoDia)—0
Investigating Biases in Textual Entailment Datasets—0
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Investigating Energy Efficiency and Performance Trade-offs in LLM Inference Across Tasks and DVFS Settings—0
Knowledge Portability with Semantic Expansion of Ontology Labels—0
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering—0
Knowledge Proxy Intervention for Deconfounded Video Question Answering—0
Investigating Mysteries of CoT-Augmented Distillation—0
Improving mitosis detection on histopathology images using large vision-language models—0
Attention-guided Generative Models for Extractive Question Answering—0
Attention Guided Semantic Relationship Parsing for Visual Question Answering—0
Investigating the Generative Approach for Question Answering in E-Commerce—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
LEANN: A Low-Storage Vector Index—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—0
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction—0
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack—0
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering—0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability—0
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
IRIS: a Chat-oriented Dialogue System based on the Vector Space Model—0
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models—0
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Knowledge Pyramid: A Novel Hierarchical Reasoning Structure for Generalized Knowledge Augmentation and Inference—0
Improving Lexical Embeddings for Robust Question Answering—0
Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering—0
Curriculum Learning for Compositional Visual Reasoning—0
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?—0
Is Graph Structure Necessary for Multi-hop Question Answering?—0
Is It Dish Washer Safe? Automatically Answering ``Yes/No'' Questions Using Customer Reviews—0
IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity—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