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 5176–5200 of 10817 papers

TitleStatusHype
Towards Mitigating Hallucination in Large Language Models via Self-Reflection—0
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQACode0
Constructive Large Language Models Alignment with Diverse Feedback—0
FireAct: Toward Language Agent Fine-tuning—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering—0
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and BeyondCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Lightweight In-Context Tuning for Multimodal Unified Models—0
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading—0
Self-Knowledge Guided Retrieval Augmentation for Large Language Models—0
Do Large Language Models Know about Facts?—0
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Critique Ability of Large Language Models—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
Policy-Gradient Training of Language Models for Ranking—0
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering—0
Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models—0
CLEVRER-Humans: Describing Physical and Causal Events the Human Way—0
DecoderLens: Layerwise Interpretation of Encoder-Decoder TransformersCode0
Procedural Text Mining with Large Language ModelsCode0
Retrieval meets Long Context Large Language Models—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