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Mm-soc: Benchmarking multimodal large language models in social media platforms
Social media platforms are hubs for multimodal information exchange, encompassing text,
images, and videos, making it challenging for machines to comprehend the information or …
images, and videos, making it challenging for machines to comprehend the information or …
Agentreview: Exploring peer review dynamics with llm agents
Peer review is fundamental to the integrity and advancement of scientific publication.
Traditional methods of peer review analyses often rely on exploration and statistics of …
Traditional methods of peer review analyses often rely on exploration and statistics of …
PrivacyMind: large language models can be contextual privacy protection learners
The proliferation of Large Language Models (LLMs) has driven considerable interest in fine-
tuning them with domain-specific data to create specialized language models. Nevertheless …
tuning them with domain-specific data to create specialized language models. Nevertheless …
Deliberate reasoning for llms as structure-aware planning with accurate world model
Enhancing the reasoning capabilities of large language models (LLMs) remains a key
challenge, especially for tasks that require complex, multi-step decision-making. Humans …
challenge, especially for tasks that require complex, multi-step decision-making. Humans …
Shortcut Learning in In-Context Learning: A Survey
Shortcut learning refers to the phenomenon where models employ simple, non-robust
decision rules in practical tasks, which hinders their generalization and robustness. With the …
decision rules in practical tasks, which hinders their generalization and robustness. With the …
CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation
Medical quality control indicators are essential to assess the qualifications of healthcare
institutions for medical services. With the impressive performance of large language models …
institutions for medical services. With the impressive performance of large language models …
TableMaster: A Recipe to Advance Table Understanding with Language Models
L Cao - arxiv preprint arxiv:2501.19378, 2025 - arxiv.org
Tables serve as a fundamental format for representing structured relational data. While
current language models (LMs) excel at many text-based tasks, they still face challenges in …
current language models (LMs) excel at many text-based tasks, they still face challenges in …
[TRÍCH DẪN][C] Unraveling and Overcoming Challenges in Machine Learning: Generalizability, Adaptability, and Multifacetedness
H Cho