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 3151–3200 of 10817 papers

TitleStatusHype
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity AllocationCode1
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as AgentsCode1
Question Answering Over Spatio-Temporal Knowledge Graph—0
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model EvaluationCode1
LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data AugmentationCode1
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
LongAgent: Scaling Language Models to 128k Context through Multi-Agent CollaborationCode1
ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsCode3
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
PEDANTS: Cheap but Effective and Interpretable Answer EquivalenceCode2
KnowTuning: Knowledge-aware Fine-tuning for Large Language ModelsCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
Where is the answer? Investigating Positional Bias in Language Model Knowledge ExtractionCode0
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering—0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models—0
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering—0
Language Models as Science TutorsCode1
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQLCode0
Inference to the Best Explanation in Large Language Models—0
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language ModelsCode1
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
Question-Instructed Visual Descriptions for Zero-Shot Video Question AnsweringCode0
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks—0
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research—0
Exploring Hybrid Question Answering via Program-based Prompting—0
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsCode2
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction SimulatorCode2
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
LAPDoc: Layout-Aware Prompting for Documents—0
ControlLM: Crafting Diverse Personalities for Language ModelsCode1
A Dataset of Open-Domain Question Answering with Multiple-Span Answers—0
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-raysCode0
Reasoning over Uncertain Text by Generative Large Language ModelsCode0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMCode4
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Visually Dehallucinative Instruction GenerationCode0
Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks—0
Plausible Extractive Rationalization through Semi-Supervised Entailment SignalCode0
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal RetrieversCode3
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-AnsweringCode0
Lumos : Empowering Multimodal LLMs with Scene Text Recognition—0
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsCode1
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited ExamplesCode1
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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