DLP: Dynamic Layerwise Pruning in Large Language Models
arXiv:2505.23807v3 Announce Type: replace-cross Abstract: Pruning has recently been widely adopted to reduce the parameter scale and improve the inference…
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
arXiv:2506.01538v2 Announce Type: cross Abstract: Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low…
Bias as a Virtue: Rethinking Generalization under Distribution Shifts
arXiv:2506.00407v1 Announce Type: cross Abstract: Machine learning models often degrade when deployed on data distributions different from their training data.…
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
arXiv:2505.24649v1 Announce Type: cross Abstract: Large vision-language models have become widely adopted to advance in various domains. However, developing a…
Multiple LLM Agents Debate for Equitable Cultural Alignment
arXiv:2505.24671v1 Announce Type: cross Abstract: Large Language Models (LLMs) need to adapt their predictions to diverse cultural contexts to benefit…
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
arXiv:2505.22904v2 Announce Type: replace-cross Abstract: The widespread success of foundation models in natural language processing and computer vision has inspired…
Efficient Text Encoders for Labor Market Analysis
arXiv:2505.24640v1 Announce Type: cross Abstract: Labor market analysis relies on extracting insights from job advertisements, which provide valuable yet unstructured…
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
arXiv:2505.06186v3 Announce Type: replace-cross Abstract: Extracting scientific evidence from biomedical studies for clinical research questions (e.g., Does stem cell transplantation…