3 papers
cs.LG2025
EvolKV: Evolutionary KV Cache Compression for LLM Inference
Bohan Yu, Yekun Chai
Existing key-value (KV) cache compression methods typically rely on heuristics, such as uniform cache allocation across layers or static eviction policies, however, they ignore the…
cs.CL2025
CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages
Yilun Yang, Yekun Chai
Code-mixing, the practice of switching between languages within a conversation, poses unique challenges for traditional NLP. Existing benchmarks are limited by their narrow languag…
cs.AI2025
MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning
Yulun Jiang, Yekun Chai, Maria BrbiÄ +1
The ability to process information from multiple modalities and to reason through it step-by-step remains a critical challenge in advancing artificial intelligence. However, existi…