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 4351–4400 of 10817 papers

TitleStatusHype
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question AnsweringCode1
Zero-shot Visual Question Answering with Language Model FeedbackCode0
Submodular Minimax Optimization: Finding Effective Sets—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question AnsweringCode0
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksCode2
Mindstorms in Natural Language-Based Societies of Mind—0
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering—0
UFO: Unified Fact Obtaining for Commonsense Question AnsweringCode0
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringCode0
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationCode1
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language ModelsCode2
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought—0
Revisiting Sentence Union Generation as a Testbed for Text ConsolidationCode0
OpenPI2.0: An Improved Dataset for Entity Tracking in TextsCode1
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of MindCode0
Extracting Psychological Indicators Using Question Answering—0
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering—0
EXnet: Efficient In-context Learning for Data-less Text classification—0
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLMCode0
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering—0
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringCode0
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering—0
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy—0
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving ScenarioCode2
Getting MoRE out of Mixture of Language Model Reasoning Experts—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
SAIL: Search-Augmented Instruction Learning—0
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-AnsweringCode0
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents—0
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language ModelsCode1
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop QuestionsCode1
Allies: Prompting Large Language Model with Beam Search—0
Measuring Faithful and Plausible Visual Grounding in VQACode0
C-STS: Conditional Semantic Textual SimilarityCode1
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic ParsingCode0
Context-Aware Transformer Pre-Training for Answer Sentence Selection—0
Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning LogicCode0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions—0
Using Natural Language Explanations to Rescale Human JudgmentsCode0
Meta-Learning Online Adaptation of Language ModelsCode1
Mitigating Temporal Misalignment by Discarding Outdated FactsCode0
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionCode0
Selectively Answering Ambiguous Questions—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