activity
20232026
most citedOn the Opportunities of Green Computing: A Survey

9 citations · 26 across the 51 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

MOSAIC: Composable Safety Alignment with Modular Control Tokens

Jingyu Peng, Hongyu Chen, Jiancheng Dong +5

Safety alignment in large language models (LLMs) is commonly implemented as a single static policy embedded in model parameters. However, real-world deployments often require conte…

cs.AI2025

FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use

Zengzhuang Xu, Bingguang Hao, Zechuan Wang +14

Function calling (FC) empowers large language models (LLMs) and autonomous agents to interface with external tools, a critical capability for solving complex, real-world problems.…

cs.AI2025★ 1 cited

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

Yejing Wang, Shengyu Zhou, Jinyu Lu +9

Generative Recommendation (GR), powered by Large Language Models (LLMs), represents a promising new paradigm for industrial recommender systems. However, their practical applicatio…

cs.AI2025

Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning

Xiao Han, Zimo Zhao, Wanyu Wang +4

Recent advancements in Large Language Models (LLMs) have emphasized the critical role of fine-tuning (FT) techniques in adapting LLMs to specific tasks, especially when retraining…

cs.AI2024

Stepwise Reasoning Error Disruption Attack of LLMs

Jingyu Peng, Maolin Wang, Xiangyu Zhao +6

Large language models (LLMs) have made remarkable strides in complex reasoning tasks, but their safety and robustness in reasoning processes remain underexplored. Existing attacks…

cs.AI2024★ 1 cited

SIGMA: Selective Gated Mamba for Sequential Recommendation

Ziwei Liu, Qidong Liu, Yejing Wang +6

In various domains, Sequential Recommender Systems (SRS) have become essential due to their superior capability to discern intricate user preferences. Typically, SRS utilize transf…

cs.AI2023★ 1 cited

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup

Maolin Wang, Yao Zhao, Jiajia Liu +5

The deployment of Large Multimodal Models (LMMs) within AntGroup has significantly advanced multimodal tasks in payment, security, and advertising, notably enhancing advertisement…

cs.AI2023★ 9 cited

On the Opportunities of Green Computing: A Survey

You Zhou, Xiujing Lin, Xiang Zhang +38

Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades, and is widely used in many areas including…