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 1501–1550 of 10817 papers

TitleStatusHype
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles—0
MILU: A Multi-task Indic Language Understanding BenchmarkCode1
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering—0
Can Language Models Enable In-Context Database?—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—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
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning—0
Diagnosing Medical Datasets with Training DynamicsCode0
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
Designing a Robust Radiology Report Generation System—0
Rationale-Guided Retrieval Augmented Generation for Medical Question AnsweringCode1
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior—0
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Right this way: Can VLMs Guide Us to See More to Answer Questions?Code0
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs—0
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking—0
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs—0
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change DetectionCode1
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingCode0
Symbolic Graph Inference for Compound Scene Understanding—0
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset—0
Danoliteracy of Generative, Large Language Models—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
Multi-Agent Large Language Models for Conversational Task-SolvingCode2
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering—0
GRADE: Quantifying Sample Diversity in Text-to-Image Models—0
RealCQA-V2 : Visual Premise Proving A Manual COT Dataset for Charts—0
AAAR-1.0: Assessing AI's Potential to Assist Research—0
Synthetic Data Generation with Large Language Models for Personalized Community Question AnsweringCode0
Distinguishing Ignorance from Error in LLM HallucinationsCode1
Are VLMs Really BlindCode0
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code ReviewCode0
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework—0
ProMQA: Question Answering Dataset for Multimodal Procedural Activity UnderstandingCode0
Few-Shot Multimodal Explanation for Visual Question AnsweringCode0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Large Language Model Benchmarks in Medical Tasks—0
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart—0
Resilience in Knowledge Graph Embeddings—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