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 3751–3775 of 10817 papers

TitleStatusHype
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs—0
Using Similarity to Evaluate Factual Consistency in Summaries—0
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions—0
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option ShufflingCode0
Co-occurrence is not Factual Association in Language ModelsCode0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
Drift to Remember—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed BanditCode0
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting—0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge—0
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-TuningCode0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks—0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning—0
Vision Language Models Can Parse Floor Plan Maps—0
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language ModelsCode0
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty—0
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language—0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—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