Periodic Topological Deep Learning for Polymer Design and Discovery
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Personalized Generative Models for Contextual Debiasing
Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Li…
RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
Unified Panoramic Geometry Estimation via Multi-View Foundation Models
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieva…
Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments
Composition Collapse: Stable Factual Knowledge Does Not Imply Compositional Reasoning
Recursive Flow Matching
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
Assessing Per-Sample Membership Inference Vulnerability without Retraining
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language…
SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and…
Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays impr…
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendati…
The Necessity of a Unified Framework for LLM-Based Agent Evaluation
Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracl…
Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
Two Speeds of Learning: A Representation-Readout Decomposition of Grokking and Double Des…
Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions?
Detached Skip-Links and $R$-Probe: Decoupling Feature Aggregation from Gradient Propagati…
AI evaluation may bias perceptions: The importance of context in interpreting academic wr…
Linear and Neural Dueling Bandits with Delayed Feedback
The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing …
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Ri…
Cordyceps: Covert Control Attacks on LLMs via Data Poisoning
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Aut…