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World Knowledge

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Showing 601–625 of 818 papers

TitleStatusHype
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models—0
Vision Language Models are In-Context Value Learners—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Visual Commonsense in Pretrained Unimodal and Multimodal Models—0
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
Visual Programming for Text-to-Image Generation and Evaluation—0
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models—0
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter—0
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?—0
What goes into a word: generating image descriptions with top-down spatial knowledge—0
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?—0
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult—0
"Why" Has the Least Side Effect on Model Editing—0
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia—0
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia—0
Wikipedia-based Semantic Interpretation for Natural Language Processing—0
WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation—0
Winograd Schemas and Machine Translation—0
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation—0
World Knowledge as Indirect Supervision for Document Clustering—0
World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving—0
World Knowledge for Abstract Meaning Representation Parsing—0
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