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 2576–2600 of 10817 papers

TitleStatusHype
Accurate and Nuanced Open-QA Evaluation Through Textual EntailmentCode0
Map-based Modular Approach for Zero-shot Embodied Question AnsweringCode1
Crafting Interpretable Embeddings by Asking LLMs QuestionsCode2
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain TeasersCode0
Generating clickbait spoilers with an ensemble of large language models—0
Streaming Long Video Understanding with Large Language Models—0
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention—0
Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data—0
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and ChallengesCode0
OptLLM: Optimal Assignment of Queries to Large Language ModelsCode0
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top—0
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
LOVA3: Learning to Visual Question Answering, Asking and AssessmentCode2
Large Language Models Can Self-Correct with Key Condition Verification—0
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
AGILE: A Novel Reinforcement Learning Framework of LLM AgentsCode2
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering—0
A Survey on Vision-Language-Action Models for Embodied AICode4
PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary SurgeryCode1
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
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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