From the 1 of 9 linked papers with an AI index.
9 papers
Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research
Jaber Daneshamooz, Eugene Vuong, Alagappan Ramanathan +11
The paper presents Pramana, a composable, domain‑specific backend that separates experiment intent from execution substrate to streamline the generation of empirical networking dat…
LBI: Parallel Scan Backpropagation via Latent Bounded Interfaces
Shaun Christopher Lee, Sangeetha Abdu Jyothi
Backpropagation is inherently sequential across depth, creating an -deep dependency chain that bottlenecks parallel training. While parallel-scan formulations theoretically r…
FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management
Nazmul Takbir, Hamidreza Alikhani, Nikil Dutt +1
Large Language Model (LLM) serving is increasingly constrained by the growing size of the key-value (KV) cache, which scales with both context length and generation length. Prior w…
Airavat: An Agentic Framework for Internet Measurement
Alagappan Ramanathan, Eunju Kang, Dongsu Han +1
Internet measurement faces twin challenges: complex analyses require expert-level orchestration of tools, yet even syntactically correct implementations can have methodological fla…
CoopQ: Cooperative Game Inspired Layerwise Mixed Precision Quantization for LLMs
Junchen Zhao, Ali Derakhshan, Jayden Kana Hyman +3
Large Language Models (LLMs) promise impressive capabilities, yet their multi-billion-parameter scale makes on-device or low-resource deployment prohibitive. Mixed-precision quanti…
AMAQ: Adaptive Mixed-bit Activation Quantization for Collaborative Parameter Efficient Fine-tuning
Yurun Song, Zhuoyi Yang, Ian G. Harris +1
Large Language Models (LLMs) are scaling rapidly, creating significant challenges for collaborative server client distributed training, particularly in terms of communication effic…