arXiv Artificial IntelligenceThe Privacy-Hallucination Tradeoff in Differentially Private Language Models
arXiv:2609.00492v1 Announce Type: new Abstract: Both privacy and factual accuracy are paramount in…
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arXiv Artificial IntelligencearXiv:2609.00492v1 Announce Type: new Abstract: Both privacy and factual accuracy are paramount in…
arXiv Artificial IntelligencearXiv:2609.00479v1 Announce Type: new Abstract: For emerging scientific research domains, local Small…
arXiv Artificial IntelligencearXiv:2609.00455v1 Announce Type: new Abstract: Large language models (LLMs) are being used as policies for…
arXiv Artificial IntelligencearXiv:2609.00453v1 Announce Type: new Abstract: Giving an agent a file about a named expert can supply…
arXiv Artificial IntelligencearXiv:2609.00441v1 Announce Type: new Abstract: Effective manager-employee communication is critical for…
arXiv Artificial IntelligencearXiv:2609.00434v1 Announce Type: new Abstract: Evaluating task-oriented dialogue agents requires judging not…
arXiv Artificial IntelligencearXiv:2609.00427v1 Announce Type: new Abstract: The exponential growth of wireless devices is driving…
arXiv Artificial IntelligencearXiv:2609.00413v1 Announce Type: new Abstract: Chain of thought prompting improves complex reasoning, but…
arXiv Artificial IntelligencearXiv:2609.00384v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly automate…
arXiv Artificial IntelligencearXiv:2609.00365v1 Announce Type: new Abstract: Command-line coding agents (e.g., Claude Code, Gemini CLI)…
arXiv Artificial IntelligencearXiv:2609.00356v1 Announce Type: new Abstract: Quantum federated learning (QFL) enables clients to train…
arXiv Artificial IntelligencearXiv:2609.00355v1 Announce Type: new Abstract: Speculative decoding accelerates generation without changing…