2 papers
cs.LG2026
MoE-nD: Per-Layer Mixture-of-Experts Routing for Multi-Axis KV Cache Compression
Libo Sun, Peixiong He, Po-Wei Harn +1
KV cache memory is the dominant bottleneck for long-context LLM inference. Existing compression methods each act on a single axis of the four-dimensional KV tensor -- token evictio…
cs.CV2026
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
Zijian Liu, Sihan Cao, Pengcheng Zheng +5
Recent Video Large Language Models (Video-LLMs) have demonstrated strong capability in video understanding, yet they still suffer from hallucinations. Existing mitigation methods t…