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 2251–2300 of 10817 papers

TitleStatusHype
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Referring Atomic Video Action RecognitionCode1
Synthetic Multimodal Question Generation—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
The Solution for the ICCV 2023 Perception Test Challenge 2023 -- Task 6 -- Grounded videoQA—0
Dynamic Few-Shot Learning for Knowledge Graph Question Answering—0
M2QA: Multi-domain Multilingual Question AnsweringCode0
Searching for Best Practices in Retrieval-Augmented GenerationCode3
An Empirical Comparison of Generative Approaches for Product Attribute-Value IdentificationCode0
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningCode1
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding EvaluationCode1
Calibrated Large Language Models for Binary Question Answering—0
Optimization of Retrieval-Augmented Generation Context with Outlier Detection—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Eliminating Position Bias of Language Models: A Mechanistic ApproachCode1
Hierarchical Memory for Long Video QA—0
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility GraphCode1
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Financial Knowledge Large Language Model—0
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs—0
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceCode0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language ModelsCode1
Efficient Large Multi-modal Models via Visual Context CompressionCode2
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
Follow-Up Questions Improve Documents Generated by Large Language Models—0
Changing Answer Order Can Decrease MMLU Accuracy—0
Handling Ontology Gaps in Semantic ParsingCode0
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationCode1
Length Optimization in Conformal PredictionCode0
TrustUQA: A Trustful Framework for Unified Structured Data Question AnsweringCode0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering SystemsCode0
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature DistillationCode0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval—0
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
Sanskrit Knowledge-based Systems: Annotation and Computational Tools—0
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsCode0
Zero-Shot Long-Form Video Understanding through Screenplay—0
CaLMQA: Exploring culturally specific long-form question answering across 23 languagesCode0
Entropy-Based Decoding for Retrieval-Augmented Large Language ModelsCode0
Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD—0
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge GraphCode1
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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