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 1851–1875 of 10817 papers

TitleStatusHype
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—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
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and ResourcesCode1
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot NavigationCode3
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
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed BanditCode0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting—0
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
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
Language Models Learn to Mislead Humans via RLHFCode1
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model ReasoningCode2
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language—0
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based ReasoningCode2
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty—0
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment—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