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 4351–4375 of 10817 papers

TitleStatusHype
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation—0
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
Semi-Parametric Retrieval via Binary Bag-of-Tokens IndexCode0
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India—0
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-TurboCode0
Comparative Analysis of Retrieval Systems in the Real World—0
UQA: Corpus for Urdu Question AnsweringCode0
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty ExpressionCode0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education—0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
Suvach -- Generated Hindi QA benchmark—0
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering—0
When to Retrieve: Teaching LLMs to Utilize Information Retrieval EffectivelyCode0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
Multi-hop Question Answering over Knowledge Graphs using Large Language Models—0
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question AnsweringCode0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
Capabilities of Gemini Models in Medicine—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