Uncovering Latent Reasoning Strategies in Language Models
arXiv:2607.17674v1 Announce Type: cross Abstract: A language model $p_theta(y mid x)$ trained on reasoning tasks learns to solve problems via…
Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning — The Limit of the Scaling Law
arXiv:2606.26454v2 Announce Type: replace Abstract: By promoting vectors to spheres and enabling explicit model construction, neural networks can perform symbolic-level…
AI sustains higher strategic tension than humans in chess
arXiv:2508.13213v4 Announce Type: replace Abstract: Strategic decision-making requires balancing immediate opportunities against long-term objectives: a tension fundamental to competitive environments.…
Breaking the Factorization Barrier in Diffusion Language Models
arXiv:2603.00045v3 Announce Type: replace-cross Abstract: Diffusion language models theoretically allow for efficient parallel generation but are practically hindered by the…
DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification
arXiv:2508.12745v2 Announce Type: replace-cross Abstract: Image set classification (ISC), which can be viewed as a task of comparing similarities between…
OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice
arXiv:2607.08423v2 Announce Type: replace Abstract: The rapid integration of Large Vision-Language Models (VLMs) into critical infrastructure promises to revolutionize personalized…
Perception-Aligned AI Outputs: End-to-End Visual Prediction for Uncertainty Communication in Clinical Decision-Making
arXiv:2205.04599v2 Announce Type: replace-cross Abstract: Explainable Artificial Intelligence (XAI) is essential for trustworthy AI in healthcare, yet many existing methods…
Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
arXiv:2512.03054v3 Announce Type: replace-cross Abstract: Federated Learning (FL) holds the potential to advance equality in health by enabling diverse institutions…
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
arXiv:2604.06742v2 Announce Type: replace-cross Abstract: The evolution of Large Language Models (LLMs) has catalyzed a paradigm shift towards intent-driven software…
Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability
arXiv:2510.12229v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have been shown to internalize human-like biases during finetuning, yet the…