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 1701–1725 of 10817 papers

TitleStatusHype
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image AnalysisCode2
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelsCode1
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
TVBench: Redesigning Video-Language Evaluation—0
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models—0
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
AuditWen:An Open-Source Large Language Model for AuditCode1
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models—0
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP LayersCode0
SEGMENT+: Long Text Processing with Short-Context Language Models—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial LiteracyCode0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation PuzzlesCode0
Uncovering Factor Level Preferences to Improve Human-Model Alignment—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara—0
Large Continual Instruction AssistantCode2
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
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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