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 351–400 of 10817 papers

TitleStatusHype
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical TasksCode1
Table-R1: Region-based Reinforcement Learning for Table Understanding—0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering—0
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation—0
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data—0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation—0
TinyRS-R1: Compact Multimodal Language Model for Remote Sensing—0
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text InterpretationCode1
Time-R1: Towards Comprehensive Temporal Reasoning in LLMsCode0
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context PermutationCode0
THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering—0
MatTools: Benchmarking Large Language Models for Materials Science ToolsCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMsCode0
HumaniBench: A Human-Centric Framework for Large Multimodal Models EvaluationCode0
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert ReasonerCode2
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language ModelsCode0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Scaling Reasoning can Improve Factuality in Large Language ModelsCode0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
A Dataset for Spatiotemporal-Sensitive POI Question AnsweringCode0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
End-to-End Vision Tokenizer Tuning—0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
The Impact of Large Language Models on Task Automation in Manufacturing Services—0
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?—0
Variational Visual Question Answering—0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information ForagingCode0
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage—0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
Visually Interpretable Subtask Reasoning for Visual Question AnsweringCode0
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—0
ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph CompletionCode1
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model ReasoningCode1
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
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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