1 citations · 1 across the 4 of their papers we have counts for
6 papers
SkillGATE: Gate-Aware Monte Carlo Tree Search for Skill Retrieval
Rongchen Zhao, Yu Chen, Yanming Yang +5
Skill Retrieval (SR) aims to identify the most relevant skills from external skill libraries, and becomes increasingly challenging as libraries grow in scale and diversity. Existin…
SALA: Semantic-Aware Logical Alignment for Complex Reasoning in In-Context Learning
Zhao Ji, Wenqing Chen, Zhixuan Chu +4
Effective in-context learning (ICL) for complex reasoning relies on selecting the right demonstrations. Traditional retrieval methods based on surface similarity fail to capture th…
CoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging
Mingjie Zheng, Zihao Chen, Wenqing Chen +4
Model merging provides an efficient paradigm for constructing multi-task large language models (LLMs) without full model retraining, yet it remains challenged by parameter interfer…
Alada: Alternating Adaptation of Momentum Method for Memory-Efficient Matrix Optimization
Xiaoyu He, Yu Cai, Jin Jia +3
This work proposes Alada, an adaptive momentum method for stochastic optimization over large-scale matrices. Alada employs a rank-one factorization approach to estimate the second…
One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
Zexu Wang, Jiachi Chen, Zewei Lin +7
Smart contracts have significantly advanced blockchain technology, and digital signatures are crucial for reliable verification of contract authority. Through signature verificatio…
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework
Zhenjie Xu, Wenqing Chen, Yi Tang +6
Natural language processing (NLP) has seen remarkable advancements with the development of large language models (LLMs). Despite these advancements, LLMs often produce socially bia…