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 301–350 of 10817 papers

TitleStatusHype
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language ModelsCode2
Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction TuningCode2
Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationCode2
Retrieval with Learned SimilaritiesCode2
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingCode2
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringCode2
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World QuestionsCode2
Scientific QA System with Verifiable AnswersCode2
SPIQA: A Dataset for Multimodal Question Answering on Scientific PapersCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
GOFA: A Generative One-For-All Model for Joint Graph Language ModelingCode2
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question AnsweringCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language ModelsCode2
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildCode2
MiniGPT-Med: Large Language Model as a General Interface for Radiology DiagnosisCode2
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
Efficient Large Multi-modal Models via Visual Context CompressionCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation LearningCode2
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language modelsCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image UnderstandingCode2
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for EnsemblingCode2
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPOCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
Task Me AnythingCode2
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical ReasoningCode2
MedCalc-Bench: Evaluating Large Language Models for Medical CalculationsCode2
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language ModelsCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
Yo'LLaVA: Your Personalized Language and Vision AssistantCode2
Towards Vision-Language Geo-Foundation Model: A SurveyCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMsCode2
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
Recurrent Context Compression: Efficiently Expanding the Context Window of LLMCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuningCode2
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksCode2
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese MedicineCode2
TabPedia: Towards Comprehensive Visual Table Understanding with Concept SynergyCode2
ANAH: Analytical Annotation of Hallucinations in Large Language ModelsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Reason3D: Searching and Reasoning 3D Segmentation via Large Language ModelCode2
Crafting Interpretable Embeddings by Asking LLMs QuestionsCode2
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
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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