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 3651–3675 of 10817 papers

TitleStatusHype
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and BeyondCode0
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition—0
Temporal Reasoning Transfer from Text to Video—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
Information Discovery in e-Commerce—0
MM-R^3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs)—0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering—0
Precise Model Benchmarking with Only a Few Observations—0
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question AnsweringCode0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable QuestionsCode0
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations—0
Table Question Answering for Low-resourced Indic LanguagesCode0
EXAQ: Exponent Aware Quantization For LLMs AccelerationCode0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
Learning Semantic Structure through First-Order-Logic Translation—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