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 10051–10100 of 10817 papers

TitleStatusHype
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures—0
SetKE: Knowledge Editing for Knowledge Elements Overlap—0
Set-LLM: A Permutation-Invariant LLM—0
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services—0
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine—0
Shai: A large language model for asset management—0
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments—0
Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition—0
Shared Imagination: LLMs Hallucinate Alike—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
SHEF-Multimodal: Grounding Machine Translation on Images—0
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
Shiraz: A Proposed List Wise Approach to Answer Validation—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention—0
Siamese Networks for Semantic Pattern Similarity—0
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data—0
Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering—0
SimDoc: Topic Sequence Alignment based Document Similarity Framework—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction—0
Simple and Effective Semi-Supervised Question Answering—0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval—0
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps—0
Simple Large-scale Relation Extraction from Unstructured Text—0
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—0
Simple or Complex? Classifying Questions by Answering Complexity—0
Simple Question Answering by Attentive Convolutional Neural Network—0
Simple Question Answering with Subgraph Ranking and Joint-Scoring—0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering—0
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases—0
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion—0
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset—0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains—0
SimsterQ: A Similarity based Clustering Approach to Opinion Question Answering—0
Simulating Bandit Learning from User Feedback for Extractive Question Answering—0
SimVQA: Exploring Simulated Environments for Visual Question Answering—0
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization—0
Single-Modal Entropy based Active Learning for Visual Question Answering—0
Single Training Dimension Selection for Word Embedding with PCA—0
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback—0
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification—0
SITE: towards Spatial Intelligence Thorough Evaluation—0
SkillQG: Learning to Generate Question for Reading Comprehension Assessment—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