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Showing 1526–1550 of 14182 papers

TitleStatusHype
Megrez-Omni Technical Report—0
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
Slamming: Training a Speech Language Model on One GPU in a DayCode3
A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models—0
Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval—0
TESS 2: A Large-Scale Generalist Diffusion Language ModelCode2
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments—0
Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model—0
Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder—0
UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge—0
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning—0
TALKPLAY: Multimodal Music Recommendation with Large Language Models—0
What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models—0
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge GraphsCode0
LLM should think and action as a human—0
Reproducing NevIR: Negation in Neural Information RetrievalCode0
Complex Ontology Matching with Large Language Model Embeddings—0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs—0
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model—0
AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain RecommendationsCode0
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning—0
Flow-based generative models as iterative algorithms in probability space—0
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences—0
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