Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
arXiv:2508.00912v1 Announce Type: cross Abstract: Commercial LLM services often conceal internal reasoning traces while still charging users for every generated…
arXiv:2508.00912v1 Announce Type: cross Abstract: Commercial LLM services often conceal internal reasoning traces while still charging users for every generated…
arXiv:2507.14230v2 Announce Type: replace-cross Abstract: Advanced intelligent automation becomes an important feature to deal with the increased complexity in managing…
arXiv:2505.19147v2 Announce Type: replace-cross Abstract: The rapid advancement of large language models (LLMs) and multi-modal LLMs (MLLMs) has historically relied…
arXiv:2507.11554v4 Announce Type: replace-cross Abstract: Recent advancements in diffusion models (DMs) have been propelled by alignment methods that post-train models…
arXiv:2508.01887v1 Announce Type: cross Abstract: AI-generated text detectors have become essential tools for maintaining content authenticity, yet their robustness against…
arXiv:2508.00024v1 Announce Type: cross Abstract: Quantum Support Vector Machines face scalability challenges due to high-dimensional quantum states and hardware limitations.…
arXiv:2508.00083v1 Announce Type: cross Abstract: Code generation agents powered by large language models (LLMs) are revolutionizing the software development paradigm.…
arXiv:2508.00615v1 Announce Type: cross Abstract: Accurately predicting the criticalness of ICU patients (such as in-ICU mortality risk) is vital for…
arXiv:2503.10009v3 Announce Type: replace Abstract: With the rise of artificial intelligence (AI), applying large language models (LLMs) to mathematical problem-solving…
arXiv:2504.10812v2 Announce Type: replace-cross Abstract: End-to-end learning has shown great potential in autonomous parking, yet the lack of publicly available…