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

Showing 24512500 of 10817 papers

TitleStatusHype
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge BasesCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
Multi-Perspective Context Matching for Machine ComprehensionCode0
Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QACode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language ResamplersCode0
Look, Read and Enrich. Learning from Scientific Figures and their CaptionsCode0
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewCode0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
A Question-Focused Multi-Factor Attention Network for Question AnsweringCode0
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context ExpansionCode0
A Question-Entailment Approach to Question AnsweringCode0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question AnsweringCode0
Look Before You Leap: A Universal Emergent Decomposition of Retrieval Tasks in Language ModelsCode0
Cascaded Mutual Modulation for Visual ReasoningCode0
A Question-Centric Model for Visual Question Answering in Medical ImagingCode0
Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue ReasoningCode0
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question AnsweringCode0
Long Story Short: a Summarize-then-Search Method for Long Video Question AnsweringCode0
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringCode0
Capturing Humans' Mental Models of AI: An Item Response Theory ApproachCode0
Capturing Greater Context for Question GenerationCode0
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector NetworkCode0
Capturing Conversational Interaction for Question Answering via Global History ReasoningCode0
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic DataCode0
Long-context Non-factoid Question Answering in Indic LanguagesCode0
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsCode0
LP-LM: No Hallucinations in Question Answering with Logic ProgrammingCode0
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
Location Aware Modular Biencoder for Tourism Question AnsweringCode0
AQUALLM: Audio Question Answering Data Generation Using Large Language ModelsCode0
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA SystemsCode0
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuACCode0
CODAH: An Adversarially Authored Question-Answer Dataset for Common SenseCode0
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLMCode0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed BanditCode0
Locally Smoothed Neural NetworksCode0
Logical Implications for Visual Question Answering ConsistencyCode0
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical OverlapCode0
LLM Robustness Against Misinformation in Biomedical Question AnsweringCode0
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified