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 1351–1375 of 10817 papers

TitleStatusHype
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
Semantic Tokens in Retrieval Augmented Generation—0
CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMs—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
Mastering Board Games by External and Internal Planning with Language Models—0
AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM—0
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question AnsweringCode1
PhysGame: Uncovering Physical Commonsense Violations in Gameplay VideosCode1
Unlocking Video-LLM via Agent-of-Thoughts Distillation—0
Understanding the World's Museums through Vision-Language ReasoningCode0
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking—0
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual PreferencesCode2
SEAL: Semantic Attention Learning for Long Video Representation—0
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring TasksCode0
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages—0
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced PromptingCode0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessCode0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
Actions and Objects Pathways for Domain Adaptation in Video Question Answering—0
PerLA: Perceptive 3D Language AssistantCode1
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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