activity
20142026
most citedTowards Efficient Data Valuation Based on the Shapley Value

182 citations · 398 across the 52 of their papers we have counts for

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Showing 2025Show all

9 papers · 1 filter

eess.SY2025

An Equivalent and Unified Virtual Battery Modeling Framework for Flexibility Characterization of Building HVAC Systems

Qi Zhu, Yu Yang, Liang Yu +3

The heating, ventilation and air-conditioning (HVAC) system dominates building's energy consumption and meanwhile exhibits substantial operational flexibility that can be exploited…

cs.LG2025

AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond

Shangding Gu, Xiaohan Wang, Donghao Ying +9

Rapid advances in multimodal models demand benchmarks that rigorously evaluate understanding and reasoning in safety-critical, dynamic real-world settings. We present AccidentBench…

cs.LG2025

StyleBench: Evaluating thinking styles in Large Language Models

Junyu Guo, Shangding Gu, Ming Jin +2

Structured reasoning can improve the inference performance of large language models (LLMs), but it also introduces computational cost and control constraints. When additional reaso…

cs.AI2025★ 1 cited

Agentic Web: Weaving the Next Web with AI Agents

Yingxuan Yang, Mulei Ma, Yuxuan Huang +15

The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web, a new phase of the internet defined by autonomous, goal-driven inte…

cs.AI2025

Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision

Jiahui Zhou, Dan Li, Lin Li +5

The reasoning capabilities of large language models (LLMs) have significantly advanced their performance by enabling in-depth understanding of diverse tasks. With growing interest…

cs.LG2025

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond

Shangding Gu, Donghao Ying, Ming Jin +4

We introduce Model Feedback Learning (MFL), a novel test-time optimization framework for optimizing inputs to pre-trained AI models or deployed hardware systems without requiring a…