MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings?
arXiv:2601.11559v1 Announce Type: new Abstract: Despite rare diseases affecting 1 in 10 Americans, their differential diagnosis remains challenging. Due to…
Building Production-Ready Probes For Gemini
arXiv:2601.11516v2 Announce Type: replace-cross Abstract: Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors…
MOSLD-Bench: Multilingual Open-Set Learning and Discovery Benchmark for Text Categorization
arXiv:2601.13437v1 Announce Type: cross Abstract: Open-set learning and discovery (OSLD) is a challenging machine learning task in which samples from…
A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
arXiv:2601.13435v1 Announce Type: cross Abstract: Learning profitable intraday trading policies from financial time series is challenging due to heavy noise,…
Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration
arXiv:2601.11144v2 Announce Type: replace-cross Abstract: Graph-based Retrieval-Augmented Generation (GraphRAG) frameworks face a trade-off between the comprehensiveness of global search and…
Japanese AI Agent System on Human Papillomavirus Vaccination: System Design
arXiv:2601.10718v1 Announce Type: new Abstract: Human papillomavirus (HPV) vaccine hesitancy poses significant public health challenges, particularly in Japan where proactive…
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
arXiv:2601.10343v2 Announce Type: replace-cross Abstract: Modern coding scaffolds turn LLMs into capable software agents, but their ability to follow scaffold-specified…
Relational Linearity is a Predictor of Hallucinations
arXiv:2601.11429v1 Announce Type: cross Abstract: Hallucination is a central failure mode in large language models (LLMs). We focus on hallucinations…
The Great March 100: 100 Detail-oriented Tasks for Evaluating Embodied AI Agents
arXiv:2601.11421v1 Announce Type: cross Abstract: Recently, with the rapid development of robot learning and imitation learning, numerous datasets and methods…