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 2551–2600 of 10817 papers

TitleStatusHype
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals—0
ANAH: Analytical Annotation of Hallucinations in Large Language ModelsCode2
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsCode1
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMsCode1
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Models—0
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question AnsweringCode0
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering—0
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?—0
Hawk: Learning to Understand Open-World Video AnomaliesCode3
Reason3D: Searching and Reasoning 3D Segmentation via Large Language ModelCode2
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR—0
THREAD: Thinking Deeper with Recursive SpawningCode1
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
On Bits and Bandits: Quantifying the Regret-Information Trade-offCode0
Accurate and Nuanced Open-QA Evaluation Through Textual EntailmentCode0
Map-based Modular Approach for Zero-shot Embodied Question AnsweringCode1
Crafting Interpretable Embeddings by Asking LLMs QuestionsCode2
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain TeasersCode0
Generating clickbait spoilers with an ensemble of large language models—0
Streaming Long Video Understanding with Large Language Models—0
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention—0
Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data—0
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and ChallengesCode0
OptLLM: Optimal Assignment of Queries to Large Language ModelsCode0
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top—0
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
LOVA3: Learning to Visual Question Answering, Asking and AssessmentCode2
Large Language Models Can Self-Correct with Key Condition Verification—0
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
AGILE: A Novel Reinforcement Learning Framework of LLM AgentsCode2
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering—0
A Survey on Vision-Language-Action Models for Embodied AICode4
PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary SurgeryCode1
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
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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