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 7901–7950 of 10817 papers

TitleStatusHype
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart—0
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering—0
Investigating Biases in Textual Entailment Datasets—0
Investigating Answerability of LLMs for Long-Form Question Answering—0
CS-VQA: Visual Question Answering with Compressively Sensed Images—0
QUINT: Interpretable Question Answering over Knowledge Bases—0
Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs—0
An Augmented Benchmark Dataset for Geometric Question Answering through Dual Parallel Text Encoding—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
Inverse Visual Question Answering with Multi-Level Attentions—0
QurAna: Corpus of the Quran annotated with Pronominal Anaphora—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
Automated Answer Validation using Text Similarity—0
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking—0
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs—0
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
Introduction of a Probabilistic Language Model to Non-Factoid Question Answering Using Example Q\&A Pairs—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
Introduction method for argumentative dialogue using paired question-answering interchange about personality—0
Introducing Semantics into Speech Encoders—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
RAG based Question-Answering for Contextual Response Prediction System—0
Introducing "Forecast Utterance" for Conversational Data Science—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
CSAT‑FTCN: A Fuzzy‑Oriented Model with Contextual Self‑attention Network for Multimodal Emotion Recognition—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
A Natural Language Instructor for pedestrian navigation based in generation by selection—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
A Domain and Language Independent Named Entity Classification Approach Based on Profiles and Local Information—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
Examining Long-Context Large Language Models for Environmental Review Document Comprehension—0
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos—0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—0
In-the-Wild Video Question Answering—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis—0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension—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