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 3451–3500 of 10817 papers

TitleStatusHype
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering—0
A Brief History of Named Entity Recognition—0
Survey on Semantic Interpretation of Tabular Data: Challenges and Directions—0
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding—0
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models—0
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models—0
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA—0
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?Code0
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval—0
Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD SystemCode0
Multimodal Commonsense Knowledge Distillation for Visual Question Answering—0
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning—0
Leveraging Large Language Models in Code Question Answering: Baselines and IssuesCode0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
VERITAS: A Unified Approach to Reliability Evaluation—0
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
Can Language Models Enable In-Context Database?—0
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering—0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles—0
Goal-Oriented Semantic Communication for Wireless Visual Question Answering—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
Diagnosing Medical Datasets with Training DynamicsCode0
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning—0
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
Designing a Robust Radiology Report Generation System—0
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior—0
Right this way: Can VLMs Guide Us to See More to Answer Questions?Code0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs—0
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs—0
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking—0
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset—0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingCode0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
Danoliteracy of Generative, Large Language Models—0
Symbolic Graph Inference for Compound Scene Understanding—0
Are VLMs Really BlindCode0
ProMQA: Question Answering Dataset for Multimodal Procedural Activity UnderstandingCode0
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework—0
AAAR-1.0: Assessing AI's Potential to Assist Research—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