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 5076–5100 of 10817 papers

TitleStatusHype
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation—0
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering—0
Attention-based model for predicting question relatedness on Stack Overflow—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models—0
It was the training data pruning too!—0
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs—0
iVQA: Inverse Visual Question Answering—0
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization—0
IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
Attention-Based Methods For Audio Question Answering—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
基于多头注意力和BiLSTM改进DAM模型的中文问答匹配方法(Chinese question answering method based on multi-head attention and BiLSTM improved DAM model)—0
基於深度學習之簡答題問答系統初步探討(A Preliminary Study on Deep Learning-based Short Answer Question Answering System)—0
基於特徵粒度之訓練策略於中文口語問答系統之應用 (A Feature-granularity Training Strategy for Chinese Spoken Question Answering)—0
基於特徵粒度之訓練策略於中文口語問答系統之應用(A Feature-granularity Training Strategy for Chinese Spoken Question Answering)—0
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging—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