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 5901–5950 of 10817 papers

TitleStatusHype
Identifying Constant and Unique Relations by using Time-Series Text—0
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA—0
Conversational Question Answering: A Survey—0
A temporal expression recognition system for medical documents by—0
Identifying Causal Relations Using Parallel Wikipedia Articles—0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Identification of Temporal Event Relationships in Biographical Accounts—0
Identification of Alias Links among Participants in Narratives—0
Double Retrieval and Ranking for Accurate Question Answering—0
Logical Inference on Dependency-based Compositional Semantics—0
Logically Consistent Loss for Visual Question Answering—0
Logical Parsing from Natural Language Based on a Neural Translation Model—0
Logical Story Representations via FrameNet + Semantic Parsing—0
Conversational QA Dataset Generation with Answer Revision—0
Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—0
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge—0
An Online Question Answering System based on Sub-graph Searching—0
LOIS: Looking Out of Instance Semantics for Visual Question Answering—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Conversational Machine Comprehension: a Literature Review—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
ICL00 at SemEval-2016 Task 3: Translation-Based Method for CQA System—0
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation—0
Conversational Knowledge Teaching Agent that uses a Knowledge Base—0
ICE: Idiom and Collocation Extractor for Research and Education—0
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—0
Conversational Information Seeking—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks—0
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.—0
ICDAR 2019 Competition on Scene Text Visual Question Answering—0
Conversational Exploratory Search via Interactive Storytelling—0
A Taxonomy for Data Contamination in Large Language Models—0
A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge—0
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering—0
HySTER: A Hybrid Spatio-Temporal Event Reasoner—0
Long-Tailed Question Answering in an Open World—0
Long-Term Memory Networks for Question Answering—0
Conversational AI : Open Domain Question Answering and Commonsense Reasoning—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking—0
Hypo3D: Exploring Hypothetical Reasoning in 3D—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
Drift to Remember—0
ControversialQA: Exploring Controversy in Question Answering—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