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 2801–2825 of 10817 papers

TitleStatusHype
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models—0
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware—0
Synthetic Data Generation Using Large Language Models: Advances in Text and Code—0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—0
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence—0
Synthetic Clarification and Correction Dialogues about Data-Centric Tasks -- A Teacher-Student Approach—0
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models—0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
How much do LLMs learn from negative examples?Code0
Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory—0
VITED: Video Temporal Evidence Distillation—0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways—0
Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration—0
Knowledge-Aware Iterative Retrieval for Multi-Agent Systems—0
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAGCode0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—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