Search papers, labs, and topics across Lattice.
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Black-box text-to-music generators can be steered to precisely match complex user intent by an agent that iteratively refines prompts based on rubric-based audio verification.
Short-context models can achieve superior reasoning performance by leveraging long-context teacher models through innovative token alignment and training strategies.
GPT-5.5 not only tops the leaderboard in policy evolution but also reveals critical insights into how agents can optimize performance through strategic feedback utilization.
Achieving six times the inference throughput of current LLMs while maintaining accuracy, Nemotron 3 Ultra redefines performance benchmarks for agentic reasoning tasks.
Even the best LLMs struggle with Olympiad-level combinatorics, achieving only 65.4% on a benchmark designed to expose their reasoning limitations.
OPD's unique update geometry reveals that it operates in a low-dimensional channel, fundamentally altering our understanding of model training dynamics.
Current personal assistant agents struggle to anticipate and act on unstated user needs in long, complex workflows, revealing a critical gap between task completion and genuine proactivity.
