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 3851–3875 of 10817 papers

TitleStatusHype
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
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
FireAct: Toward Language Agent Fine-tuning—0
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsCode1
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language ModelsCode1
Self-Knowledge Guided Retrieval Augmentation for Large Language Models—0
Lightweight In-Context Tuning for Multimodal Unified Models—0
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading—0
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question AnsweringCode1
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection—0
Retrieval-Generation Synergy Augmented Large Language ModelsCode4
BRAINTEASER: Lateral Thinking Puzzles for Large Language ModelsCode1
Do Large Language Models Know about Facts?—0
An Investigation of LLMs' Inefficacy in Understanding Converse RelationsCode1
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Critique Ability of Large Language Models—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering—0
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationCode1
Analysis of the Reasoning with Redundant Information Provided Ability of 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