Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Sp…
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Noticias de IA
21270 elementos — filtrados, clasificados y sin duplicados
Generative structure search for efficient and diverse discovery of molecular and crystal …
Dynamic Dual-Granularity Skill Bank for Agentic RL
SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment
JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architec…
Why Your Deep Research Agent Fails? On Hallucination Evaluation in Full Research Trajecto…
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning
Positivity in classical enumerative geometry: a case study in synchronized AI-assisted ma…
Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC…
Quantifying Empirical Compute-Supervision Tradeoffs in RLVR
On the Epistemic Uncertainty of Overparametrized Neural Networks
By Their Fruits You Will Know Them: Comparing Formalizations of Law by the Decisions They…
Hide to Guide: Learning via Semantic Masking
Remote sensing data imputation using deep learning for multispectral imagery
SODE: Analyzing Social Dynamics in LLM Agents
Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Stud…
Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey,…
Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing
LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATA…
Machine Intelligence that Understands Visual and Linguistic Information and Interacts wit…
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
Saturating Scaling Laws for Equational Discovery: A Phenomenology of Growth Dynamics in T…
Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Sched…
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-C…
Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language …