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 7451–7500 of 10817 papers

TitleStatusHype
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge—0
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings—0
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare—0
Automatic Feature Engineering for Answer Selection and Extraction—0
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region—0
Policy Compliance Detection via Expression Tree Inference—0
Policy-Gradient Training of Language Models for Ranking—0
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph—0
Joint Models for Answer Verification in Question Answering Systems—0
Data Quality Estimation Framework for Faster Tax Code Classification—0
POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels—0
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank—0
Joint Modeling of Opinion Expression Extraction and Attribute Classification—0
PolyLM: An Open Source Polyglot Large Language Model—0
POLY: Mining Relational Paraphrases from Multilingual Sentences—0
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity—0
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature—0
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention—0
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering—0
PlotQA: Reasoning over Scientific Plots—0
Automatic Evaluation of Summary Using Textual Entailment—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Post-training an LLM for RAG? Train on Self-Generated Demonstrations—0
Advancing Chinese biomedical text mining with community challenges—0
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.—0
Power in Numbers: Robust reading comprehension by finetuning with four adversarial sentences per example—0
Poze: Sports Technique Feedback under Data Constraints—0
PPT: A Process-based Preference Learning Framework for Self Improving Table Question Answering Models—0
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network—0
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering—0
Practical Parsing for Downstream Applications—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Practice in Synonym Extraction at Large Scale—0
Joint learning of object graph and relation graph for visual question answering—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Joint Learning of Entity Linking Constraints Using a Markov-Logic Network—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
Precise Length Control in Large Language Models—0
Precise Model Benchmarking with Only a Few Observations—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach—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