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 2601–2625 of 10817 papers

TitleStatusHype
MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksCode0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
Sim2Real Transfer for Vision-Based Grasp VerificationCode0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering—0
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
OODTE: A Differential Testing Engine for the ONNX Optimizer—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References—0
Grounding Task Assistance with Multimodal Cues from a Single Demonstration—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and CareCode0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense EvaluationCode0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
ConSens: Assessing context grounding in open-book question answering—0
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge—0
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs—0
SetKE: Knowledge Editing for Knowledge Elements Overlap—0
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training—0
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis—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