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 4676–4700 of 10817 papers

TitleStatusHype
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Code0
Training Table Question Answering via SQL Query Decomposition—0
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning—0
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
Question Answering Over Spatio-Temporal Knowledge Graph—0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning—0
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQLCode0
Exploring Hybrid Question Answering via Program-based Prompting—0
Where is the answer? Investigating Positional Bias in Language Model Knowledge ExtractionCode0
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering—0
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks—0
Inference to the Best Explanation in Large Language Models—0
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
Question-Instructed Visual Descriptions for Zero-Shot Video Question AnsweringCode0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research—0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models—0
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering—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