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20172026
most citedAutoBalance: Optimized Loss Functions for Imbalanced Data

28 citations · 43 across the 15 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

APE: Agentic Prompt Enhancer for Image Generation and Editing

Zijian Huang, Jay Zhangjie Wu, Zian Wang +5

Natural language has become a powerful interface for image generation and editing, yet text-guided visual systems remain highly sensitive to prompt formulation. Semantically simila…

cs.AI2026

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling

Yuchen Liu, Yingjie Feng, Lixiong Qin +5

In Agentic Search, trajectory-level outcome rewards fail to quantify the behavioral contributions of individual steps, while existing step-level reward methods typically rely on co…

cs.LG2026

VSPO: Vector-Steered Policy Optimization for Behavioral Control

Xuechen Zhang, Zijian Huang, Kai Yang +3

Modern language models often need to optimize a primary accuracy objective while also accommodating secondary behavioral preferences, such as verbosity, agreeableness, or the level…

cs.LG2026

OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination

Jae-Won Chung, Zhirui Liang, Yanyong Mao +3

AI's growing compute demand and new datacenter buildouts present major capacity and reliability challenges for the electricity grid, leading to multi-year interconnection delays fo…

cs.IR2026★ 1 cited

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG

Xuechen Zhang, Koustava Goswami, Samet Oymak +2

Retrieval-augmented generation (RAG) has strong potential for producing accurate and factual outputs by combining language models (LMs) with evidence retrieved from large text corp…

eess.SY2026

GPU-to-Grid: Voltage Regulation via GPU Utilization Control

Zhirui Liang, Jae-Won Chung, Mosharaf Chowdhury +2

While the rapid expansion of data centers poses challenges for power grids, it also offers new opportunities as flexible loads. Existing power system research often abstracts data…