Simulating Human Memory with Language Models
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Noticias de IA
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Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel L…
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
Adversarial Error Correction for Visual Autoregressive Generation
Motion-Compensated Weight Compression
LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomo…
Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-tuning
LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward …
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic U…
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
Go witheFlow: Real-time Emotion Driven Audio Effects Modulation
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Mode…
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Re…
EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization
Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs
On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate N…
Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language…
Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Struct…
Measuring the Depth of LLM Unlearning via Activation Patching
LAPLEX: The FFT of Learnable Laplace Kernels
Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations
GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman In…
Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training