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 6151–6200 of 10817 papers

TitleStatusHype
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
Learning Online Alignments with Continuous Rewards Policy Gradient—0
Discourse Analysis and Its Applications—0
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
Discontinuous Genitives in Hindi/Urdu—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph—0
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics—0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
MedGPT: Medical Concept Prediction from Clinical Narratives—0
MedHal: An Evaluation Dataset for Medical Hallucination Detection—0
Learning Grounded Meaning Representations with Autoencoders—0
Learning from Limited Labels for Long Legal Dialogue—0
MeDiaQA: A Question Answering Dataset on Medical Dialogues—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering—0
Medical Knowledge-enriched Textual Entailment Framework—0
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
Benben: A Chinese Intelligent Conversational Robot—0
A New Minimally-Supervised Framework for Domain Word Sense Disambiguation—0
Medical visual question answering using joint self-supervised learning—0
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching—0
Medicines Question Answering System, MeQA—0
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Learning Faithful Representations of Causal Graphs—0
Learning Executable Semantic Parsers for Natural Language Understanding—0
Direct optimization of F-measure for retrieval-based personal question answering—0
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
Learning Entailment Relations by Global Graph Structure Optimization—0
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization—0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning—0
Directed Domain Fine-Tuning: Tailoring Separate Modalities for Specific Training Tasks—0
Learning Cross-lingual Representations with Matrix Factorization—0
Learning Corresponded Rationales for Text Matching—0
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility—0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets—0
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering—0
Learning Contextually Informed Representations for Linear-Time Discourse Parsing—0
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—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