DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and I…
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Noticias de IA
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DSL-Topic: Improving Topic Modeling by Distilling Soft Labelsfrom Language Models
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization…
Recover-LoRA for Aggressive Quantization: Reclaiming Accuracy in 2-Bit Language Models vi…
StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control…
ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models
Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics
AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
What Structural Inductive Bias Helps Transformers Reason Over Knowledge Graphs? A Study w…
Parthenon Law: A Self-Evolving Legal-Agent Framework
A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks
Making Expert Reasoning Learnable with Self-Distillation
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
Test-time reward-guided alignment of language models by importance sampling on pre-logit …
MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models
Efficient Adversarial Attacks on High-dimensional Offline Bandits
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-…
DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Mode…
R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
What If Prompt Injection Never Left? Exploring Cross-Session Stored Prompt Injection in A…
Belief-Aware VLM Model for Human-like Reasoning
Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces
CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capab…
ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction i…
VAMPS: Visual-Assisted Mathematical Problem Solving Benchmark
Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retrai…
Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thoug…
Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework…