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 3951–4000 of 10817 papers

TitleStatusHype
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
Decomposed Prompting to Answer Questions on a Course Discussion BoardCode0
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness—0
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components RecommendationCode0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
Harnessing Large Vision and Language Models in Agriculture: A Review—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph—0
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost—0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning—0
A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic DifferentiationCode0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Constructing the CORD-19 Vaccine Dataset—0
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation—0
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models—0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
3D Question Answering for City Scene Understanding—0
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
Causal Understanding For Video Question Answering—0
Shared Imagination: LLMs Hallucinate Alike—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Enhancing Temporal Understanding in LLMs for Semi-structured Tables—0
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generationCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
NV-Retriever: Improving text embedding models with effective hard-negative mining—0
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization—0
Advancing Chart Question Answering with Robust Chart Component Recognition—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—0
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person ViewCode0
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages—0
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline—0
Evaluating Search Engines and Large Language Models for Answering Health QuestionsCode0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—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