Search papers, labs, and topics across Lattice.
Affiliation:
3
0
6
Autonomous coding agents can slash inference costs by 33% and actually *improve* task success on SWE-Bench, proving that dynamic, syntax-aware context pruning enhances long-horizon reasoning rather than compromising it.
Turns out, what makes for good code pre-training data depends heavily on the downstream task you're targeting.
LLMs can now leverage visual structure, not just text, to pinpoint bugs in multimodal programs, thanks to a novel graph alignment approach that bridges the gap between GUI screenshots and code.
