1 citations · 1 across the 6 of their papers we have counts for
6 papers
StepKV: Step-Aware KV Cache Compression for LLM Agents
Boyu Feng, Jiahong Liu, Yifan Li +7
Key-value (KV) caching is essential for efficient autoregressive large language model (LLM) inference, but the cache grows linearly with context length, increasing storage and deco…
UniChange: Unifying Change Detection with Multimodal Large Language Model
Xu Zhang, Danyang Li, Xiaohang Dong +5
Change detection (CD) is a fundamental task for monitoring and analyzing land cover dynamics. While recent high performance models and high quality datasets have significantly adva…
Analyzing and Internalizing Complex Policy Documents for LLM Agents
Jiateng Liu, Zhenhailong Wang, Xiaojiang Huang +6
Large Language Model (LLM)-based agentic systems rely on in-context policy documents encoding diverse business rules. As requirements grow, these documents expand rapidly, causing…
Multimodal Policy Internalization for Conversational Agents
Zhenhailong Wang, Jiateng Liu, Amin Fazel +6
Modern conversational agents like ChatGPT and Alexa+ rely on predefined policies specifying metadata, response styles, and tool-usage rules. As these LLM-based systems expand to su…
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimization
Jingming Guo, Yan Liu, Yu Meng +4
The Mixture of Experts (MoE) is an advanced model architecture in the industry that combines multiple specialized expert models from various domains into a single supermodel. This…
Few-Shot Recalibration of Language Models
Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu
Recent work has uncovered promising ways to extract well-calibrated confidence estimates from language models (LMs), where the model's confidence score reflects how likely it is to…