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 4001–4050 of 10817 papers

TitleStatusHype
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
FQuAD: French Question Answering Dataset—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering—0
Annotating Coordination in the Penn Treebank—0
FrameNet+: Fast Paraphrastic Tripling of FrameNet—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Frame-Subtitle Self-Supervision for Multi-Modal Video Question Answering—0
CL-ReKD: Cross-lingual Knowledge Distillation for Multilingual Retrieval Question Answering—0
Annotating Attribution Relations in Arabic—0
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs—0
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering—0
Framing QA as Building and Ranking Intersentence Answer Justifications—0
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses—0
Do Large Language Models Know about Facts?—0
A Simple End-to-End Question Answering Model for Product Information—0
Freebase QA: Information Extraction or Semantic Parsing?—0
Better Retrieval May Not Lead to Better Question Answering—0
Do KG-augmented Models Leverage Knowledge as Humans Do?—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
Do Fine-tuned Commonsense Language Models Really Generalize?—0
Compositional Physical Reasoning of Objects and Events from Videos—0
Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity—0
Cluster-Former: Clustering-based Sparse Transformer for Question Answering—0
FriendsQA: Open-Domain Question Answering on TV Show Transcripts—0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs—0
From Chat Logs to Collective Insights: Aggregative Question Answering—0
GUITAR: Gradient Pruning toward Fast Neural Ranking—0
Do Explanations make VQA Models more Predictable to a Human?—0
Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs—0
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References—0
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context—0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
Better Query Graph Selection for Knowledge Base Question Answering—0
Affordances in Grounded Language Learning—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities—0
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification—0
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs—0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—0
GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance—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