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 4726–4750 of 10817 papers

TitleStatusHype
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesCode0
Efficient Models for the Detection of Hate, Abuse and Profanity—0
SubGen: Token Generation in Sublinear Time and Memory—0
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question AnsweringCode0
VerAs: Verify then Assess STEM Lab ReportsCode0
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification—0
Empowering Language Models with Active Inquiry for Deeper Understanding—0
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark—0
Convincing Rationales for Visual Question Answering ReasoningCode0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Large Language Model for Table Processing: A Survey—0
Knowledge Generation for Zero-shot Knowledge-based VQACode0
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems?—0
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models—0
Efficient Prompt Caching via Embedding Similarity—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
BAT: Learning to Reason about Spatial Sounds with Large Language Models—0
SPARQL Generation with Entity Pre-trained GPT for KG Question AnsweringCode0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains—0
Instruction Makes a DifferenceCode0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—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