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 2401–2425 of 10817 papers

TitleStatusHype
VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language ModelsCode0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
Structured Memory Mechanisms for Stable Context Representation in Large Language Models—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room—0
StressTest: Can YOUR Speech LM Handle the Stress?—0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMsCode0
Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models—0
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question AnsweringCode0
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective—0
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making—0
DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving—0
SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge—0
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs—0
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering—0
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language ModelsCode0
S2LPP: Small-to-Large Prompt Prediction across LLMs—0
BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMsCode0
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs—0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question AnsweringCode0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—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