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 2526–2550 of 10817 papers

TitleStatusHype
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory—0
Challenges of GPT-3-based Conversational Agents for Healthcare—0
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval—0
A Relational Tsetlin Machine with Applications to Natural Language Understanding—0
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM—0
Adaptable Text Matching via Meta-Weight Regulator—0
Challenges in Generalization in Open Domain Question Answering—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Challenges for Information Extraction from Dialogue in Criminal Law—0
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs—0
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases—0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality—0
Chain of Thought Prompt Tuning in Vision Language Models—0
Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge—0
Improving Small Language Models on PubMedQA via Generative Data Augmentation—0
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering—0
A Language-independent Approach to Extracting Derivational Relations from an Inflectional Lexicon—0
Chain-of-Retrieval Augmented Generation—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—0
Chain of Reasoning for Visual Question Answering—0
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—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