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 1851–1900 of 10817 papers

TitleStatusHype
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option ShufflingCode0
Co-occurrence is not Factual Association in Language ModelsCode0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
Drift to Remember—0
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot NavigationCode3
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and ResourcesCode1
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-TuningCode0
First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting—0
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed BanditCode0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning—0
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks—0
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language ModelsCode0
Vision Language Models Can Parse Floor Plan Maps—0
Language Models Learn to Mislead Humans via RLHFCode1
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model ReasoningCode2
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language—0
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty—0
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based ReasoningCode2
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment—0
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentCode1
Mamba Fusion: Learning Actions Through QuestioningCode0
ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering—0
Contextual Breach: Assessing the Robustness of Transformer-based QA Models—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMsCode1
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models—0
Explore the Hallucination on Low-level Perception for MLLMs—0
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
Active Learning to Guide Labeling Efforts for Question Difficulty EstimationCode0
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
QTG-VQA: Question-Type-Guided Architectural for VideoQA Systems—0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models—0
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases—0
L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic ContextCode1
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling—0
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding—0
Contri(e)ve: Context + Retrieve for Scholarly Question Answering—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources—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