Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
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Noticias de IA
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SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
Neither Replacement nor Panacea: Comparing LLM-Based Conversational and Graphical Decisio…
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
Appropriateness of Empathy in AI: A Signal-Cost Perspective
dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Deve…
Scaling Higher-Order Graph Learning with Maximal Clique Complexes
Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Mod…
The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of La…
DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation w…
Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Info…
Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Tripl…
On Efficient Scaling of GNNs via IO-Aware Layers Implementations
Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Cre…
RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video
Positional versus Symbolic Attention Heads: Learning Dynamics, RoPE Geometry, and Length …
TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Vid…
Stateful Online Monitoring Catches Distributed Agent Attacks
Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving
OLG++: A Semantic Extension of Obligation Logic Graph
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training
ConSensus: Multi-Agent Collaboration for Multimodal Sensing
Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
Discovering Differences in Strategic Behavior Between Humans and LLMs
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Ag…
SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy