People are more likely to believe crying men, research shows
nordot.app·2h
📊ModernBERT
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·8h
🧠LLM Inference
This “smart coach” helps LLMs switch between text and code
news.mit.edu·8h
🏆LLM Benchmarking
SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
arxiv.org·8h
🔍AI Interpretability
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
arxiv.org·8h
🔍AI Interpretability
Sparse Identification of Nonlinear Dynamics with Conformal Prediction
arxiv.org·8h
🔍AI Interpretability
A collective intelligence model for swarm robotics applications
nature.com·10h
🆕New AI
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
arxiv.org·8h
🛡️AI Safety
AI-guided patient stratification improves outcomes and efficiency in the AMARANTH Alzheimer’s Disease clinical trial
nature.com·2h
🔍Information Retrieval
Intel and Weizmann Institute Speed AI with Speculative Decoding Advance
newsroom.intel.com·21h
🧠LLM Inference
AtCoder Finals Problem Statement
atcoder.jp·18h·
Discuss: Hacker News
📝Text Compression
Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception
arxiv.org·8h
🔍Information Retrieval
A New Geometry for Einstein’s Theory of Relativity
quantamagazine.org·21h·
Discuss: Hacker News
⚛️Physics
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
arxiv.org·8h
🔍Information Retrieval
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
arxiv.org·8h
🧠LLM Inference
A Quick Look at Agentic/Generative AI in Software Engineering
semiwiki.com·23h
🪄Prompt Engineering
EME-TTS: Unlocking the Emphasis and Emotion Link in Speech Synthesis
arxiv.org·8h
📝Text Parsing
Elephant robot demonstrates bioinspired 3D printing technology
techxplore.com·16h
🔬Chip Fabrication
Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption
arxiv.org·8h
📥Feed Aggregation
Artificial Intelligence Governance for Businesses
arxiv.org·8h
🛡️Content Moderation