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Showing 151–200 of 818 papers

TitleStatusHype
Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising—0
HyperSeg: Towards Universal Visual Segmentation with Large Language ModelCode2
Functionality understanding and segmentation in 3D scenes—0
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making—0
GOT4Rec: Graph of Thoughts for Sequential Recommendation—0
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System—0
GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping—0
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task—0
Gradient Localization Improves Lifelong Pretraining of Language Models—0
Vision Language Models are In-Context Value Learners—0
LLM2CLIP: Powerful Language Model Unlocks Richer Visual RepresentationCode4
Pre-trained Visual Dynamics Representations for Efficient Policy Learning—0
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model—0
On the Exploration of LM-Based Soft Modular Robot Design—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
GRADE: Quantifying Sample Diversity in Text-to-Image Models—0
ADAM: An Embodied Causal Agent in Open-World Environments—0
Learning and Unlearning of Fabricated Knowledge in Language Models—0
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image RetrievalCode0
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing—0
Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models' Reasoning with Formal Logic—0
Roadmap towards Superhuman Speech Understanding using Large Language Models—0
Understanding the Role of LLMs in Multimodal Evaluation BenchmarksCode0
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems—0
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities—0
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers ContentCode1
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
TVBench: Redesigning Video-Language Evaluation—0
LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-ShiftsCode1
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?Code0
SEAL: SEmantic-Augmented Imitation Learning via Language Model—0
Intent Detection in the Age of LLMs—0
One Token to Seg Them All: Language Instructed Reasoning Segmentation in VideosCode2
"Why" Has the Least Side Effect on Model Editing—0
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language ModelsCode1
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models—0
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative CriterionCode0
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering—0
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment BenchmarkingCode0
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models—0
The X Types -- Mapping the Semantics of the Twitter Sphere—0
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration—0
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time—0
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User ModelingCode4
Diversify and Conquer: Diversity-Centric Data Selection with Iterative RefinementCode1
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
Synthetic continued pretrainingCode2
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles—0
Can OOD Object Detectors Learn from Foundation Models?Code1
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