AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scena…
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Noticias de IA
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MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without …
An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity T…
KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evalua…
Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning
Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents
Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
GeneralThinker: Domain-General Reasoning through Likelihood-Guided Answer-Conditioned Opt…
When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendati…
PitchBench: Measuring Pitch Hearing in Audio-Language Models
AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations
SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository …
HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate…
Co-folding model guided by structural proteomics
AgentSociety: Incentivizing Agentic Social Intelligence
Unified Neural Scaling Laws
VesselSim: learning 3D blood vessel segmentation without expert annotations
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Fi…
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieva…
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Mo…
VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes
Plans for Evaluating Structured Generative Search Summaries
Confounder Detection via Treatment Intent: A New Observational Study Design
DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection
Comparative Study of Vision-Based Metric Measurement for Large-Scale Planar Scenes
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories