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 1751–1775 of 10817 papers

TitleStatusHype
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain—0
Structured List-Grounded Question Answering—0
Table Question Answering for Low-resourced Indic LanguagesCode0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Learning Semantic Structure through First-Order-Logic Translation—0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
EXAQ: Exponent Aware Quantization For LLMs AccelerationCode0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions—0
Coal Mining Question Answering with LLMs—0
Unlocking Structured Thinking in Language Models with Cognitive Prompting—0
Video Instruction Tuning With Synthetic Data—0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language ModelCode1
MA-RLHF: Reinforcement Learning from Human Feedback with Macro ActionsCode1
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
Distilling an End-to-End Voice Assistant Without Instruction Training Data—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
Reasoning Elicitation in Language Models via Counterfactual Feedback—0
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations—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