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Large Language Model

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Showing 1401–1425 of 6097 papers

TitleStatusHype
LLM should think and action as a human—0
Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep HealthCode0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs—0
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning—0
AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain RecommendationsCode0
Complex Ontology Matching with Large Language Model Embeddings—0
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences—0
PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At InferenceCode0
Advanced simulation paradigm of human behaviour unveils complex financial systemic projection—0
User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study—0
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL—0
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities—0
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models—0
Investigating and Extending Homans' Social Exchange Theory with Large Language Model based AgentsCode0
MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation—0
Private Text Generation by Seeding Large Language Model Prompts—0
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion RecognitionCode1
Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models—0
STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models—0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics—0
Towards more Contextual Agents: An extractor-Generator Optimization Framework—0
You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations—0
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationCode1
SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback SystemsCode0
Towards Text-Image Interleaved RetrievalCode1
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