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 10651–10700 of 10817 papers

TitleStatusHype
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems—0
Towards Semantic Search for Community Question Answering for Mortgage Officers—0
Towards Solving Multimodal Comprehension—0
Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems—0
Towards Task-Agnostic Privacy- and Utility-Preserving Models—0
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement—0
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text—0
Towards the automatic classification of complex-type nominals—0
Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives—0
Towards the Unsupervised Acquisition of Implicit Semantic Roles—0
Towards Time-Aware Knowledge Graph Completion—0
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering—0
Towards Topic-to-Question Generation—0
Towards Transparent AI Systems: Interpreting Visual Question Answering Models—0
Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction—0
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers—0
Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis—0
Towards Understanding Camera Motions in Any Video—0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability—0
Towards Universal Dense Retrieval for Open-domain Question Answering—0
Towards Unsupervised Learning of Temporal Relations between Events—0
Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text—0
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?—0
Towards Verifiable Text Generation with Symbolic References—0
Towards Visual Dialog for Radiology—0
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video—0
Towards Visual Text Grounding of Multimodal Large Language Model—0
Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3—0
Toward the automatic extraction of knowledge of usable goods—0
Toward Unsupervised Realistic Visual Question Answering—0
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration—0
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images—0
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering—0
Traffic-Domain Video Question Answering with Automatic Captioning—0
T-RAG: Lessons from the LLM Trenches—0
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models—0
Training a Korean SRL System with Rich Morphological Features—0
Training a Ranking Function for Open-Domain Question Answering—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—0
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model—0
Training IBM Watson using Automatically Generated Question-Answer Pairs—0
Training Question Answering Models From Synthetic Data—0
Training Recurrent Answering Units with Joint Loss Minimization for VQA—0
Training Table Question Answering via SQL Query Decomposition—0
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding—0
Transcending Scaling Laws with 0.1% Extra Compute—0
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation—0
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to ``Parse''?—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
Transferable speech-to-text large language model alignment module—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