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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation
arXiv cs.AI Research & Papers
ConMoE: Expert-Pool Consolidation via Prototype Reassignment for MoE Compression
arXiv cs.AI Research & Papers
Indexing the Unreadable: LLM-Native Recursive Construction and Search of Service Taxonomi…
arXiv cs.AI Research & Papers
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Fra…
arXiv cs.AI Research & Papers
Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance …
arXiv cs.AI Research & Papers
From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks
arXiv cs.AI Research & Papers
Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
arXiv cs.AI Research & Papers
Estimating the Empowerment of Language Model Agents
arXiv cs.AI Research & Papers
Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents
arXiv cs.AI Research & Papers
Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Mod…
arXiv cs.AI Research & Papers
LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Trai…
arXiv cs.AI Research & Papers
Demystifying Data Organization for Enhanced LLM Training
arXiv cs.AI Research & Papers
Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning
arXiv cs.AI Research & Papers
On Language Generation in the Limit with Bounded Memory
arXiv cs.AI Research & Papers
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consum…
arXiv cs.AI Research & Papers
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio
arXiv cs.AI Research & Papers
A Composable Multimodal Framework for cine CMR-Text-Driven Prediction of Heart Failure Ou…
arXiv cs.AI Research & Papers
Pushing the Limits of Block Rotations in Post-Training Quantization
arXiv cs.AI Research & Papers
CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Divers…
arXiv cs.AI Research & Papers
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
arXiv cs.AI Research & Papers
Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn…
arXiv cs.AI Research & Papers
Reinforcement Learning with Robust Rubric Rewards
arXiv cs.AI Research & Papers
Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation
arXiv cs.AI Research & Papers
PRO-CUA: Process-Reward Optimization for Computer Use Agents
arXiv cs.AI Research & Papers
Evolutionary Rule Extraction from Corporate Default Prediction Models
arXiv cs.AI Research & Papers
BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-Wor…
arXiv cs.AI Research & Papers
CalArena: A Large-Scale Post-Hoc Calibration Benchmark
arXiv cs.AI Research & Papers
Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smoot…
arXiv cs.AI Research & Papers
How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions
arXiv cs.AI Research & Papers
On the Optimizer Dependence of Neural Scaling Laws