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Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning

arXiv:2311.08010v3 Announce Type: replace Abstract: Distantly-Supervised Named Entity Recognition (DS-NER) is widely used in real-world...

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models

arXiv:2507.03433v1 Announce Type: new Abstract: Social determinants of health (SDoH) significantly influence health outcomes, shaping...

Improving Detection of Watermarked Language Models

arXiv:2508.13131v1 Announce Type: new Abstract: Watermarking has recently emerged as an effective strategy for detecting...

Improving Data and Reward Design for Scientific Reasoning in Large Language Models

arXiv:2602.08321v1 Announce Type: new Abstract: Solving open-ended science questions remains challenging for large language models...

Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback

arXiv:2508.07178v1 Announce Type: new Abstract: Accurate personalized headline generation hinges on precisely capturing user interests...

Implementing Statistical Guardrails for Non-Deterministic Agents

Non-deterministic agents are those where the same input can lead to distinct outputs across multiple...

Implementing Prompt Compression to Reduce Agentic Loop Costs

Agentic loops in production can be synonymous with high costs, especially when it comes to...

Implementing Prompt Compression to Reduce Agentic Loop Costs

Agentic loops in production can be synonymous with high costs, especially when it comes to...

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