arXiv:2607.26119v1 Announce Type: new Abstract: Large reasoning models trained via reinforcement learning (RL) have been increasingly shown to outperform their…
arXiv:2607.25961v2 Announce Type: replace-cross Abstract: Ambivalence and hesitancy (A/H) are conflicting affective states that precede the delay or abandonment of…
arXiv:2607.27023v1 Announce Type: cross Abstract: Evaluating large generative models across benchmarks is time-consuming and computationally expensive. This drives the need…
arXiv:2607.26985v1 Announce Type: cross Abstract: Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow wall-clock…
arXiv:2607.25718v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents increasingly rely on invoking external tools to complete real-world tasks.…
