arXiv Artificial IntelligenceDemonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
arXiv:2607.06233v3 Announce Type: replace Abstract: LLM-powered data agents are playing an increasingly…
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arXiv Artificial IntelligencearXiv:2607.06233v3 Announce Type: replace Abstract: LLM-powered data agents are playing an increasingly…
arXiv Artificial IntelligencearXiv:2607.04412v2 Announce Type: replace Abstract: Reinforcement learning (RL) for non-verifiable…
arXiv Artificial IntelligencearXiv:2606.27826v3 Announce Type: replace Abstract: Embodied agents driven by multimodal large language…
arXiv Artificial IntelligencearXiv:2606.26418v3 Announce Type: replace Abstract: An oracle that tells you the probability of some future…
arXiv Artificial IntelligencearXiv:2606.10794v3 Announce Type: replace Abstract: Existing black-box LLM provenance methods achieve…
arXiv Artificial IntelligencearXiv:2606.09730v2 Announce Type: replace Abstract: Large language models are increasingly expected to handle…
arXiv Artificial IntelligencearXiv:2606.04273v2 Announce Type: replace Abstract: For centuries, human mathematicians have written proofs…
arXiv Artificial IntelligencearXiv:2606.00959v2 Announce Type: replace Abstract: Understanding how multimodal large language models use…
arXiv Artificial IntelligencearXiv:2606.00376v2 Announce Type: replace Abstract: Extended chain-of-thought reasoning can degrade…
arXiv Artificial IntelligencearXiv:2605.24396v2 Announce Type: replace Abstract: Long chains of thought (CoT) from current language models…
arXiv Artificial IntelligencearXiv:2605.08704v3 Announce Type: replace Abstract: Multi-agent reasoning has shown promise for improving the…
arXiv Artificial IntelligencearXiv:2605.08653v2 Announce Type: replace Abstract: Accurate state-of-charge (SOC) estimation is critical for…