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 3901–3950 of 10817 papers

TitleStatusHype
Making Retrieval-Augmented Language Models Robust to Irrelevant ContextCode1
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Representation Engineering: A Top-Down Approach to AI TransparencyCode2
RA-DIT: Retrieval-Augmented Dual Instruction Tuning—0
A Framework for Inference Inspired by Human Memory MechanismsCode1
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks—0
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
SLM: Bridge the thin gap between speech and text foundation models—0
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data—0
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language ModelsCode1
Using Weak Supervision and Data Augmentation in Question Answering—0
Toloka Visual Question Answering BenchmarkCode1
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language ModelsCode1
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration—0
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering SystemsCode1
At Which Training Stage Does Code Data Help LLMs Reasoning?Code1
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving—0
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal PromptsCode1
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
Tackling VQA with Pretrained Foundation Models without Further Training—0
Question answering using deep learning in low resource Indian language Marathi—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Question-Answering Approach to Evaluating Legal SummariesCode0
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning—0
Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models—0
QASports: A Question Answering Dataset about SportsCode0
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering—0
Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionCode1
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsCode1
Modeling Student Performance in Game-Based Learning EnvironmentsCode0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
OpenAi's GPT4 as coding assistantCode0
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References—0
Knowledge Sanitization of Large Language ModelsCode0
LongLoRA: Efficient Fine-tuning of Long-Context Large Language ModelsCode6
SCREWS: A Modular Framework for Reasoning with RevisionsCode1
Retrieving Supporting Evidence for Generative Question Answering—0
Sentence Attention Blocks for Answer Grounding—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
KOSMOS-2.5: A Multimodal Literate Model—0
StructChart: On the Schema, Metric, and Augmentation for Visual Chart UnderstandingCode2
Visual Question Answering in the Medical Domain—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