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 4751–4775 of 10817 papers

TitleStatusHype
Cross Encoding as Augmentation: Towards Effective Educational Text Classification—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data—0
An Annotated Corpus of Webtables for Information Extraction Tasks—0
Cross-Domain Answer Ranking using Importance Sampling—0
Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment—0
An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT—0
A Distant Supervision Approach to Semantic Role Labeling—0
Cross-Dataset Adaptation for Visual Question Answering—0
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT—0
An Analysis of Visual Question Answering Algorithms—0
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models—0
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
A Discursive Grid Approach to Model Local Coherence in Multi-document Summaries—0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Audio Dialogues: Dialogues dataset for audio and music understanding—0
Critique Ability of Large Language Models—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—0
It was the training data pruning too!—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—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
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense 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