Residual Reward Models for Preference-based Reinforcement Learning
arXiv:2507.00611v1 Announce Type: cross Abstract: Preference-based Reinforcement Learning (PbRL) provides a way to learn high-performance policies in environments where the…
Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies
arXiv:2507.00606v1 Announce Type: cross Abstract: Large language models (LLMs) excel in complex tasks through advanced prompting techniques like Chain-of-Thought (CoT)…
The Impact of AI on Educational Assessment: A Framework for Constructive Alignment
arXiv:2506.23815v2 Announce Type: replace-cross Abstract: The influence of Artificial Intelligence (AI), and specifically Large Language Models (LLM), on education is…
Bootstrapping Human-Like Planning via LLMs
arXiv:2506.22604v1 Announce Type: new Abstract: Robot end users increasingly require accessible means of specifying tasks for robots to perform. Two…
Dehazing Light Microscopy Images with Guided Conditional Flow Matching: finding a sweet spot between fidelity and realism
arXiv:2506.22397v2 Announce Type: replace-cross Abstract: Fluorescence microscopy is a major driver of scientific progress in the life sciences. Although high-end…
Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
arXiv:2506.23635v1 Announce Type: cross Abstract: Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI) with significant advancements such as OpenAI’s…
gMBA: Expression Semantic Guided Mixed Boolean-Arithmetic Deobfuscation Using Transformer Architectures
arXiv:2506.23634v1 Announce Type: cross Abstract: Mixed Boolean-Arithmetic (MBA) obfuscation protects intellectual property by converting programs into forms that are more…
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
arXiv:2506.21599v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have been adopted for next point-of-interest (POI) recommendation tasks. Typical LLM-based…
SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents
arXiv:2506.21669v1 Announce Type: new Abstract: Self-evolution, the ability of agents to autonomously improve their reasoning and behavior, is essential for…
A Systematic Review of Human-AI Co-Creativity
arXiv:2506.21333v2 Announce Type: replace-cross Abstract: The co creativity community is making significant progress in developing more sophisticated and tailored systems…