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 901–950 of 10817 papers

TitleStatusHype
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City SpaceCode1
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models—0
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference OptimizationCode2
Grounding LLM Reasoning with Knowledge Graphs—0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic DataCode0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
LM Agents for Coordinating Multi-User Information Gathering—0
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering—0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long DocumentsCode0
MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease ProgressionCode1
The geometry of BERT—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
"See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models—0
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval—0
The Mirage of Model Editing: Revisiting Evaluation in the WildCode1
QuOTE: Question-Oriented Text Embeddings—0
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent SystemsCode2
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question AnsweringCode0
SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video UnderstandingCode2
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding—0
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
Post-training an LLM for RAG? Train on Self-Generated Demonstrations—0
Diversity Enhances an LLM's Performance in RAG and Long-context Task—0
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAGCode2
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language ModelsCode4
LP-LM: No Hallucinations in Question Answering with Logic ProgrammingCode0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs—0
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language ModelsCode0
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs—0
Abduction of Domain Relationships from Data for VQA—0
EmoAssist: Emotional Assistant for Visual Impairment Community—0
Visual Graph Question Answering with ASP and LLMs for Language Parsing—0
On Mechanistic Circuits for Extractive Question-Answering—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
ReTreever: Tree-based Coarse-to-Fine Representations for Retrieval—0
Making Language Models Robust Against Negation—0
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question AnsweringCode1
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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