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From the 1 of 36 linked papers with an AI index.

most citedSageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling

2 citations · 4 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.LG2026

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems

Fiza Husain, Anson Bastos, Anjaly Parayil +4

In this paper, we present DiRecGNN, an attention-enhanced entity recommendation framework for monitoring cloud services at Microsoft. We provide insights on the usefulness of this…

cs.LG2026

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization

Jin Xu, Camille Couturier, Victor Rühle +2

Transformer blocks typically combine multi-head attention (MHA) for token mixing with gated MLPs for token-wise feature transformation, yet many choices in their parameterization r…

cs.LG2026

SynthAgent: Adapting Web Agents with Synthetic Supervision

Zhaoyang Wang, Yiming Liang, Xuchao Zhang +9

Web agents struggle to adapt to new websites due to the scarcity of environment specific tasks and demonstrations. Recent works have explored synthetic data generation to address t…

cs.LG2026

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

Sidharth Sinha, Anson Bastos, Xuchao Zhang +3

Large language models (LLMs) excel in open domains but struggle in specialized settings with limited data and evolving knowledge. Existing domain adaptation practices rely heavily…

cs.LG2025

REFA: Reference Free Alignment for multi-preference optimization

Taneesh Gupta, Rahul Madhavan, Xuchao Zhang +2

To mitigate reward hacking from response verbosity, modern preference optimization methods are increasingly adopting length normalization (e.g., SimPO, ORPO, LN-DPO). While effecti…

cs.LG2025

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Dongge Han, Menglin Xia, Daniel Madrigal Diaz +7

Small language models (SLMs) offer promising and efficient alternatives to large language models (LLMs). However, SLMs' limited capacity restricts their reasoning capabilities and…