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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3201–3250 of 10817 papers

TitleStatusHype
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited ExamplesCode1
T-RAG: Lessons from the LLM Trenches—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Retrieval Augmented Thought Process for Private Data Handling in Healthcare—0
Exploring Perceptual Limitation of Multimodal Large Language ModelsCode1
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind—0
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image DataCode0
Anchor-based Large Language ModelsCode1
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringCode4
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to PairsCode3
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended TasksCode2
CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain—0
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & HallucinationsCode1
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable AnswersCode2
EntGPT: Linking Generative Large Language Models with Knowledge BasesCode0
FaBERT: Pre-training BERT on Persian Blogs—0
The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate—0
CIC: A Framework for Culturally-Aware Image Captioning—0
In-Context Principle Learning from MistakesCode0
Efficient Models for the Detection of Hate, Abuse and Profanity—0
SubGen: Token Generation in Sublinear Time and Memory—0
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesCode0
FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension—0
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular FusionCode2
VerAs: Verify then Assess STEM Lab ReportsCode0
SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge GraphCode1
ScreenAI: A Vision-Language Model for UI and Infographics UnderstandingCode2
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question AnsweringCode0
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark—0
INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionCode1
Training Language Models to Generate Text with Citations via Fine-grained RewardsCode1
Empowering Language Models with Active Inquiry for Deeper Understanding—0
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification—0
Convincing Rationales for Visual Question Answering ReasoningCode0
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications—0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Text-Guided Image ClusteringCode1
Position: What Can Large Language Models Tell Us about Time Series AnalysisCode2
Large Language Model for Table Processing: A Survey—0
Knowledge Generation for Zero-shot Knowledge-based VQACode0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
A Survey of Large Language Models in Finance (FinLLMs)Code3
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems?—0
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models—0
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern RetrievalCode1
CABINET: Content Relevance based Noise Reduction for Table Question AnsweringCode1
Efficient Prompt Caching via Embedding Similarity—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
Show:102550
← PrevPage 65 of 217Next →
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