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arXiv:2510.15345v1 Announce Type: new Abstract: Automatic readability assessment plays a key role in ensuring effective and accessible written communication. Despite...
arXiv:2504.20094v2 Announce Type: replace-cross Abstract: Conversational recommender systems (CRS) have advanced with large language models, showing strong results in domains...
arXiv:2510.15624v1 Announce Type: cross Abstract: The automation of scientific discovery represents a critical milestone in Artificial Intelligence (AI) research. However,...
Are your LLM code benchmarks actually rejecting wrong-complexity solutions and interactive-protocol violations, or are they passing under-specified unit tests? A...
Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today’s...
Microsoft Research proposes BitNet Distillation, a pipeline that converts existing full precision LLMs into 1.58 bit BitNet students for specific...
Researchers from Stanford, EPFL, and UNC introduce Weak-for-Strong Harnessing, W4S, a new Reinforcement Learning RL framework that trains a small...
Vector databases have become essential in most modern AI applications.
For many software developers using generative AI, vibe coding is a double-edged sword. The process delivers rapid prototypes but often...
Counterfactual LLM-based Framework for Measuring Rhetorical Style
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
CoT-Space: A Theoretical Framework for Internal Slow-Thinking via Reinforcement Learning
