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When AI Navigates the Fog of War
Arxiv
0+阅读 · 3月17日
sim2art: Accurate Articulated Object Modeling from a Single Video using Synthetic Training Data Only
Arxiv
0+阅读 · 3月16日
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Arxiv
0+阅读 · 3月16日
GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
Arxiv
0+阅读 · 3月16日
Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
Arxiv
0+阅读 · 3月13日
RECAP: Reproducing Copyrighted Data from LLMs Training with an Agentic Pipeline
Arxiv
0+阅读 · 3月13日
Sequential Data Augmentation for Generative Recommendation
Arxiv
0+阅读 · 2月22日
BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop
Arxiv
0+阅读 · 2月24日
Online Slip Detection and Friction Coefficient Estimation for Autonomous Racing
Arxiv
0+阅读 · 3月12日
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
Arxiv
0+阅读 · 2月23日
DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
Arxiv
0+阅读 · 2月27日
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
Arxiv
0+阅读 · 2月26日
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
Arxiv
0+阅读 · 3月9日
When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger
Arxiv
0+阅读 · 3月4日
Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions
Arxiv
0+阅读 · 3月9日
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