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 4501–4550 of 10817 papers

TitleStatusHype
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf GameCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Stable Code Technical Report—0
VideoDistill: Language-aware Vision Distillation for Video Question Answering—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Unveiling Divergent Inductive Biases of LLMs on Temporal DataCode0
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question LabelingCode0
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks—0
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized DatasetCode0
Multi-hop Question Answering under Temporal Knowledge Editing—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-trainingCode0
Uncovering Bias in Large Vision-Language Models with Counterfactuals—0
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language ModelsCode0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Are Large Language Models Good at Utility Judgments?Code0
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?—0
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative TransformersCode0
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language ModelsCode0
Can multiple-choice questions really be useful in detecting the abilities of LLMs?Code0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination—0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text—0
Task-Agnostic Detector for Insertion-Based Backdoor Attacks—0
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code SearchCode0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA—0
CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering—0
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training—0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing—0
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringCode0
Multi-Review Fusion-in-Context—0
Sphere Neural-Networks for Rational Reasoning—0
Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery—0
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
Extracting Emotion Phrases from Tweets using BART—0
Large Language Models for Multi-Choice Question Classification of Medical Subjects—0
Multi-Level Explanations for Generative Language Models—0
MyVLM: Personalizing VLMs for User-Specific Queries—0
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering—0
gTBLS: Generating Tables from Text by Conditional Question Answering—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