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 5951–6000 of 10817 papers

TitleStatusHype
Learning to Order Natural Language Texts—0
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks—0
Learning to Navigate Wikipedia by Taking Random Walks—0
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences—0
Learning to Model Multilingual Unrestricted Coreference in OntoNotes—0
Distilling Salient Reviews with Zero Labels—0
Learning to Map Natural Language Statements into Knowledge Base Representations for Knowledge Base Construction—0
Learning to Make Inferences in a Semantic Parsing Task—0
Distilling an End-to-End Voice Assistant Without Instruction Training Data—0
Learning to Jointly Predict Ellipsis and Comparison Structures—0
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering—0
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
Learning to Interactively Learn and Assist—0
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?—0
Learning to Inference Adaptively for Multimodal Large Language Models—0
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
Learning to Identify Follow-Up Questions in Conversational Question Answering—0
Learning to Generate Word Representations using Subword Information—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
Learning to Generate Questions by Learning to Recover Answer-containing Sentences—0
Distantly Supervised Transformers For E-Commerce Product QA—0
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications—0
An Improved Traditional Chinese Evaluation Suite for Foundation Model—0
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness—0
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser—0
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Low-Resource Semantic Role Labeling—0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
Compositional Physical Reasoning of Objects and Events from Videos—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
Learning to Generate Questions by Learning What not to Generate—0
DISLOG: A logic-based language for processing discourse structures—0
Learning to Focus when Ranking Answers—0
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach—0
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables—0
Learning to Disambiguate by Asking Discriminative Questions—0
Learning-to-Defer for Extractive Question Answering—0
Disentangling Online Chats with DAG-Structured LSTMs—0
Learning to Decompose Compound Questions with Reinforcement Learning—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
Learning to Compute Word Embeddings On the Fly—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Learning to Compose Diversified Prompts for Image Emotion Classification—0
Disease Identification From Unstructured User Input—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