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Large Language Models

2678 directly classified papers

Papers per year

Papers

Graphic Design with Large Multimodal Model AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation AAAI 2025
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models AAAI 2025
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline AAAI 2025
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios AAAI 2025
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs AAAI 2025
In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025
LLM-Powered User Simulator for Recommender System AAAI 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025
Teaching Models to Improve on Tape AAAI 2025
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025
Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract) AAAI 2025
Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework AAAI 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies AAAI 2025
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025