Search papers, labs, and topics across Lattice.
7
0
13
0
Proactively committing mid-entropy pivot positions can accelerate dLLM decoding by up to 18 times while improving accuracy.
OPD may improve sampling efficiency, but it risks making previously solvable problems unsolvable, challenging the notion of true capability expansion in LLMs.
Revisiting spatial reasoning allows models to correct initial hypotheses with new perspectives, dramatically enhancing their accuracy in complex environments.
Forget PEFT and KD, reprogramming distillation offers a surprisingly effective and robust way to adapt large medical foundation models to diverse downstream tasks.
Training a multimodal agent from scratch beats retrofitting existing LMMs with search tools, especially when you compress long interaction histories into visual summaries.
Current Composed Image Retrieval benchmarks are misleading, as a new evaluation reveals that models struggle with query ambiguity and interactive scenarios.
Injecting rare disease knowledge into data synthesis and using self-supervised RL on pseudo-labels dramatically improves medical reasoning in LLMs, outperforming existing methods by up to 5.93% on rare disease tasks.
