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 8751–8800 of 10817 papers

TitleStatusHype
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models—0
Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models—0
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption—0
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering—0
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media—0
FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection—0
FQuAD2.0: French Question Answering and knowing that you know nothing—0
FQuAD2.0: French Question Answering and Learning When You Don’t Know—0
FQuAD: French Question Answering Dataset—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
FrameNet+: Fast Paraphrastic Tripling of FrameNet—0
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Frame-Subtitle Self-Supervision for Multi-Modal Video Question Answering—0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs—0
Framework for Weakly Supervised Causal Knowledge Extraction from Text—0
Framing QA as Building and Ranking Intersentence Answer Justifications—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Freebase QA: Information Extraction or Semantic Parsing?—0
Free Form Medical Visual Question Answering in Radiology—0
freePruner: A Training-free Approach for Large Multimodal Model Acceleration—0
FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context Question Answering—0
Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity—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
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI—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
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
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration—0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—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
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs—0
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base—0
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
From Retrieval to Generation: Comparing Different Approaches—0
From Shakespeare to Twitter: What are Language Styles all about?—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