For An Exciting Tomorrow
arXiv:2506.08827v1 Announce Type: cross Abstract: The extraction of information about traffic accidents from legal documents is crucial for quantifying insurance…
arXiv:2506.07976v2 Announce Type: replace-cross Abstract: The current paradigm of test-time scaling relies on generating long reasoning traces (“thinking” more) before…
arXiv:2506.08026v1 Announce Type: new Abstract: This paper proposes TIP-Search, a time-predictable inference scheduling framework for real-time market prediction under uncertain…
arXiv:2506.06278v2 Announce Type: replace-cross Abstract: Current LLM unlearning methods are not robust: they can be reverted easily with a few…