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 851–875 of 10817 papers

TitleStatusHype
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering—0
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images—0
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models—0
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering—0
Echo: A Large Language Model with Temporal Episodic Memory—0
Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility ScoresCode0
Empowering LLMs with Logical Reasoning: A Comprehensive Survey—0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid—0
Improving Consistency in Large Language Models through Chain of GuidanceCode0
Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?—0
KVLink: Accelerating Large Language Models via Efficient KV Cache ReuseCode1
Mind the Gap! Static and Interactive Evaluations of Large Audio Models—0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
Is Relevance Propagated from Retriever to Generator in RAG?—0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
Measuring Faithfulness of Chains of Thought by Unlearning Reasoning StepsCode1
Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language ModelsCode2
How to Get Your LLM to Generate Challenging Problems for EvaluationCode1
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation SystemsCode0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts—0
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM—0
Argument-Based Comparative Question Answering Evaluation Benchmark—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