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 4551–4600 of 10817 papers

TitleStatusHype
Faithful Question Answering with Monte-Carlo PlanningCode0
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language ModelsCode2
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed VideosCode0
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets—0
Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing—0
Pay More Attention to Relation Exploration for Knowledge Base Question Answering—0
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings—0
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime—0
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph WalkingCode0
NorQuAD: Norwegian Question Answering DatasetCode1
MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual DataCode0
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural NetworksCode1
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected KnowledgeCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Huatuo-26M, a Large-scale Chinese Medical QA DatasetCode2
CHIC: Corporate Document for Visual question Answering—0
Multimodal Graph Transformer for Multimodal Question Answering—0
S2abEL: A Dataset for Entity Linking from Scientific TablesCode1
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions—0
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive TasksCode1
Prompt Engineering for Healthcare: Methodologies and Applications—0
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsCode2
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine ClassifiersCode0
PMC-LLaMA: Towards Building Open-source Language Models for MedicineCode2
q2d: Turning Questions into Dialogs to Teach Models How to Search—0
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal PretrainingCode1
A Personalized Dense Retrieval Framework for Unified Information AccessCode1
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question AnsweringCode1
HeySQuAD: A Spoken Question Answering DatasetCode0
Unstructured and structured data: Can we have the best of both worlds with large language models?—0
Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtCode1
Semantic Compression With Large Language Models—0
Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content FilteringCode2
Extreme Classification for Answer Type Prediction in Question Answering—0
Better Question-Answering Models on a BudgetCode1
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources—0
A Review of Deep Learning for Video Captioning—0
Tokenization Preference for Human and Machine Learning Model: An Annotation Study—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups—0
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base PopulationCode1
Why Does ChatGPT Fall Short in Providing Truthful Answers?—0
MPMQA: Multimodal Question Answering on Product ManualsCode1
LLM as A Robotic Brain: Unifying Egocentric Memory and Control—0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in SurgeryCode1
HeRo: RoBERTa and Longformer Hebrew Language Models—0
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT—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