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 3801–3850 of 10817 papers

TitleStatusHype
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
In-Context Learning with Iterative Demonstration SelectionCode1
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection—0
From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique—0
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
The Consensus Game: Language Model Generation via Equilibrium Search—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language ModelCode1
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsCode2
Low-Resource Clickbait Spoiling for Indonesian via Question Answering—0
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model—0
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language ModelsCode0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
QASiNa: Religious Domain Question Answering using Sirah NabawiyahCode0
Open-Set Knowledge-Based Visual Question Answering with Inference PathsCode0
Question Answering for Electronic Health Records: A Scoping Review of datasets and models—0
Large Language Models for Scientific Synthesis, Inference and ExplanationCode1
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
Formally Specifying the High-Level Behavior of LLM-Based Agents—0
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs—0
OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation—0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
Improving mitosis detection on histopathology images using large vision-language models—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
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsCode1
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded DialogCode0
Mini-DALLE3: Interactive Text to Image by Prompting Large Language ModelsCode2
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT—0
OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language ModelsCode1
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-CheckingCode1
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs—0
Towards Mitigating Hallucination in Large Language Models via Self-Reflection—0
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQACode0
Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023—0
MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question AnsweringCode1
Sheared LLaMA: Accelerating Language Model Pre-training via Structured PruningCode2
Teaching Language Models to Hallucinate Less with Synthetic Tasks—0
Mistral 7BCode6
Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-AnsweringCode0
Constructive Large Language Models Alignment with Diverse Feedback—0
Compressing Context to Enhance Inference Efficiency of Large Language ModelsCode2
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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