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 2851–2875 of 10817 papers

TitleStatusHype
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language ModelsCode0
Sailor: Open Language Models for South-East AsiaCode4
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought—0
LongVLM: Efficient Long Video Understanding via Large Language ModelsCode2
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0—0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices—0
Learning to Plan and Generate Text with Citations—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Automatic Prompt Selection for Large Language Models—0
Multi-Granularity Guided Fusion-in-DecoderCode1
Using Large Language Models to Understand Telecom Standards—0
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Self-Improvement Programming for Temporal Knowledge Graph Question Answering—0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization—0
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf GameCode0
mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning—0
Stable Code Technical Report—0
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual ScenesCode1
Unveiling Divergent Inductive Biases of LLMs on Temporal DataCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardCode2
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
VideoDistill: Language-aware Vision Distillation for Video 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