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 1801–1850 of 10817 papers

TitleStatusHype
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric KnowledgeCode1
Optimizing Test-Time Query Representations for Dense RetrievalCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic RewardsCode1
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
Reliable Visual Question Answering: Abstain Rather Than Answer IncorrectlyCode1
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsCode1
CC-Riddle: A Question Answering Dataset of Chinese Character RiddlesCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and EvaluationCode1
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement LearningCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
Distinguishing Ignorance from Error in LLM HallucinationsCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
Are Deep Neural Networks SMARTer than Second Graders?Code1
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related QueriesCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question AnsweringCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-ThoughtCode1
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question AnsweringCode1
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersCode1
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?Code1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Detecting Hate Speech in Multi-modal MemesCode1
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of ExpertsCode1
Dialog Inpainting: Turning Documents into DialogsCode1
RuBQ: A Russian Dataset for Question Answering over WikidataCode1
RuleRAG: Rule-guided retrieval-augmented generation with language models for question answeringCode1
RussianSuperGLUE: A Russian Language Understanding Evaluation BenchmarkCode1
Designing a Minimal Retrieve-and-Read System for Open-Domain Question AnsweringCode1
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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