Showing papers from LiAuto Show all papers
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
M2A synergizes mathematical and agentic reasoning via parameter-space model merging, improving SWE-Bench Verified solved rates from 44.0% to 51.2% without retraining.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
ReflectDrive-2 is a discrete diffusion planner that uses reinforcement learning to train self-editing trajectory tokens, boosting NAVSIM PDMS to 91.0 with 31.8 ms latency.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
ChainSpace structures spatial reasoning as state-preserving multi-round chains to expose hidden failures and improve data-efficient training.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.