1 citations · 1 across the 5 of their papers we have counts for
5 papers
BAMAS: Structuring Budget-Aware Multi-Agent Systems
Liming Yang, Junyu Luo, Xuanzhe Liu +2
Large language model (LLM)-based multi-agent systems have emerged as a powerful paradigm for enabling autonomous agents to solve complex tasks. As these systems scale in complexity…
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Junyu Luo, Zhizhuo Kou, Liming Yang +10
Multimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, in the financial domain, there is a notable lack of effective and specialized…
ReLearn: Unlearning via Learning for Large Language Models
Haoming Xu, Ningyuan Zhao, Liming Yang +7
Current unlearning methods for large language models usually rely on reverse optimization to reduce target token probabilities. However, this paradigm disrupts the subsequent token…
History Matters: Temporal Knowledge Editing in Large Language Model
Xunjian Yin, Jin Jiang, Liming Yang +1
The imperative task of revising or updating the knowledge stored within large language models arises from two distinct sources: intrinsic errors inherent in the model which should…
ArcMMLU: A Library and Information Science Benchmark for Large Language Models
Shitou Zhang, Zuchao Li, Xingshen Liu +2
In light of the rapidly evolving capabilities of large language models (LLMs), it becomes imperative to develop rigorous domain-specific evaluation benchmarks to accurately assess…