AI Research Papers
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MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling
University of Wisconsin-Madison, Northwestern University
Evaluation and Benchmarking of LLM Agents: A Survey
SAP Labs
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
IEEE
A Survey on Large Language Models for Mathematical Reasoning
Nanjing University, Nanyang Technological University, Skywork AI, Chinese University of Hong Kong
Beyond Benchmarks: A Novel Framework for Domain-Specific LLM Evaluation and Knowledge Mapping
University of Tubingen
Boosting LLM Reasoning via Spontaneous Self-Correction
MetaAI, Mila - Quebec AI Institute, Polytechnique Montréal
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
Amazon AGI, KAIST
ss-Mamba: Semantic-Spline Selective State-Space Model
National Chengchi University
DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models
Cornell University, Johns Hopkins University, Touro University College of Osteopathic Medicine
RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation
East China Normal University, Meituan Inc., Donghua University, Tsinghua University
Skywork Open Reasoner 1 Technical Report
Skywork AI, Kunlun Inc.
LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
University of Bielefeld, University of Mannheim, University of Technology Nuremberg
In-Context Watermarks for Large Language Models
UC Berkeley, UC Santa Barbara, University of Florida
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?
Apple
JULI: Jailbreak Large Language Models by Self-Introspection
Wuhan University, University of California, Berkeley
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