Search papers, labs, and topics across Lattice.
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TREK transforms the way models tackle challenging prompts by expanding their exploration support, leading to substantial performance gains even in the hardest task scenarios.
Parameter-level defenses against model merging are fundamentally flawed, allowing attackers to exploit their weaknesses with a new Anchor-Guided Attack.
Fine-tuning on the new OmniVideo-100K dataset boosts model performance by over 20% in audio-visual reasoning tasks, revealing the power of structured scripts in enhancing multimodal understanding.
Hallucinated details in super-resolution are not just random noise; they reveal a fundamental spectral mismatch that can be corrected by shaping the generative process itself.
LLMs can reason better and generate more diverse outputs by projecting negative samples onto a positive subspace during reinforcement learning.
Test-time RL's vulnerability to noisy pseudo-labels is amplified by group-relative advantage estimation, but can be mitigated with a surprisingly simple debiasing and denoising approach.
Current audio-language models are surprisingly bad at controlling and interpreting subtle vocal cues, failing in nearly half of situational dialogue scenarios.
EVT achieves 86.6% top-1 accuracy on ImageNet-1k without extra training data, redefining the potential of Vision Transformers in computer vision.
Overconfident tokens, often missed by entropy-based methods, carry surprisingly dense corrective signals in on-policy distillation, allowing for near-baseline performance with <10% of tokens.
Robots can now learn contact-rich manipulation skills like humans by feeling the forces involved, thanks to a new multimodal interface that captures synchronized visual, tactile, and force data.
A principled framework for General World Models reveals the limitations of current systems and the architectural requirements for future progress.
Overconfident errors in RLVR monopolize probability mass and suppress exploration, but a confidence-aware penalty fixes this and boosts mathematical reasoning performance.
