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 5151–5200 of 10817 papers

TitleStatusHype
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
Formally Specifying the High-Level Behavior of LLM-Based Agents—0
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets—0
Low-Resource Clickbait Spoiling for Indonesian via Question Answering—0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
Open-Set Knowledge-Based Visual Question Answering with Inference PathsCode0
Question Answering for Electronic Health Records: A Scoping Review of datasets and models—0
QASiNa: Religious Domain Question Answering using Sirah NabawiyahCode0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model—0
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language ModelsCode0
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs—0
OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation—0
Do Large Language Models have Shared Weaknesses in Medical Question Answering?—0
MatChat: A Large Language Model and Application Service Platform for Materials Science—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT—0
Improving mitosis detection on histopathology images using large vision-language models—0
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded DialogCode0
Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-AnsweringCode0
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs—0
Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023—0
Teaching Language Models to Hallucinate Less with Synthetic Tasks—0
Towards Mitigating Hallucination in Large Language Models via Self-Reflection—0
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQACode0
Constructive Large Language Models Alignment with Diverse Feedback—0
FireAct: Toward Language Agent Fine-tuning—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering—0
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and BeyondCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Lightweight In-Context Tuning for Multimodal Unified Models—0
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading—0
Self-Knowledge Guided Retrieval Augmentation for Large Language Models—0
Do Large Language Models Know about Facts?—0
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Critique Ability of Large Language Models—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
Policy-Gradient Training of Language Models for Ranking—0
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering—0
Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models—0
CLEVRER-Humans: Describing Physical and Causal Events the Human Way—0
DecoderLens: Layerwise Interpretation of Encoder-Decoder TransformersCode0
Procedural Text Mining with Large Language ModelsCode0
Retrieval meets Long Context Large Language Models—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