arXiv:2602.24009v2 Announce Type: replace-cross Abstract: Jailbreak techniques for large language models (LLMs) evolve faster than benchmarks, making robustness estimates stale…
arXiv:2603.01919v1 Announce Type: cross Abstract: Access to frontier large language models (LLMs), such as GPT-5 and Gemini-2.5, is often hindered…
arXiv:2602.23061v2 Announce Type: replace-cross Abstract: Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various…
arXiv:2602.24287v1 Announce Type: cross Abstract: Multi-turn interactions with large language models typically retain the assistant’s own past responses in the…
arXiv:2602.23296v2 Announce Type: replace-cross Abstract: Federated learning (FL) faces challenges in uncertainty quantification (UQ). Without reliable UQ, FL systems risk…
arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized tools, linking…
arXiv:2410.19450v2 Announce Type: replace Abstract: Offline-to-Online Reinforcement Learning has emerged as a powerful paradigm, leveraging offline data for initialization and…
arXiv:2602.22624v1 Announce Type: cross Abstract: Editing images via instruction provides a natural way to generate interactive content, but it is…
arXiv:2602.21189v2 Announce Type: replace-cross Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mathematical…
