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 3651–3700 of 10817 papers

TitleStatusHype
Enhancing Temporal Modeling of Video LLMs via Time GatingCode0
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition—0
Temporal Reasoning Transfer from Text to Video—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Information Discovery in e-Commerce—0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
Precise Model Benchmarking with Only a Few Observations—0
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering—0
MM-R^3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs)—0
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question AnsweringCode0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable QuestionsCode0
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations—0
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain—0
Learning Semantic Structure through First-Order-Logic Translation—0
EXAQ: Exponent Aware Quantization For LLMs AccelerationCode0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
Structured List-Grounded Question Answering—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
Table Question Answering for Low-resourced Indic LanguagesCode0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
Coal Mining Question Answering with LLMs—0
Video Instruction Tuning With Synthetic Data—0
Unlocking Structured Thinking in Language Models with Cognitive Prompting—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data—0
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions—0
Distilling an End-to-End Voice Assistant Without Instruction Training Data—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities—0
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses—0
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations—0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language ModelsCode0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
Reasoning Elicitation in Language Models via Counterfactual Feedback—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Self-Updatable Large Language Models with Parameter Integration—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