#negative-sampling News & Analysis

2 articles tagged with #negative-sampling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 117/10

🧠

Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR

Researchers propose Adaptive Negative Sample Reinforcement (A-NSR) and Confidence-Weighted Negative Reinforcement (CW-NSR) to improve LLM reasoning by dynamically adjusting penalty weights during training rather than applying fixed penalties. The methods are evaluated on challenging math datasets using Qwen2.5-Math-1.5B, demonstrating that intelligent error correction can match or exceed complex frameworks like PPO.

AINeutralarXiv – CS AI · May 276/10

🧠

Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling

Researchers propose KMAS, an adaptive negative sampling method that enhances knowledge graph foundation models by constructing higher-quality hard negative triples and dynamically adjusting their ratio throughout training. The approach improves multiple state-of-the-art KGFMs across 44 datasets without significant computational overhead, advancing zero-shot knowledge graph completion for unseen relational vocabularies.