2 papers
cs.CV2026
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
Qize Yu, Lianrui Fan, Bowen Ping +19
Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens. We view grounding as visual evidenc…
cs.SD2026
X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
Haojun Zhang, Yi Zou, Min Chen +7
Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing complete blocks perturbs the embeddings consumed by the decoder and can cause d…