92 citations · 108 across the 8 of their papers we have counts for
8 papers
Breaking the Data Barrier -- Building GUI Agents Through Task Generalization
Junlei Zhang, Zichen Ding, Chang Ma +4
Graphical User Interface (GUI) agents offer cross-platform solutions for automating complex digital tasks, with significant potential to transform productivity workflows. However,…
Non-myopic Generation of Language Models for Reasoning and Planning
Chang Ma, Haiteng Zhao, Junlei Zhang +2
Large Language Models have demonstrated remarkable abilities in reasoning and planning by breaking down complex problems into sequential steps. Despite their success in various dom…
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Chang Ma, Junlei Zhang, Zhihao Zhu +6
Evaluating Large Language Models (LLMs) as general-purpose agents is essential for understanding their capabilities and facilitating their integration into practical applications.…
ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology
Junlei Zhang, Hongliang He, Nirui Song +8
The critical field of psychology necessitates a comprehensive benchmark to enhance the evaluation and development of domain-specific Large Language Models (LLMs). Existing MMLU-typ…
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Hongliang He, Junlei Zhang, Zhenzhong Lan +1
Contrastive learning-based methods, such as unsup-SimCSE, have achieved state-of-the-art (SOTA) performances in learning unsupervised sentence embeddings. However, in previous stud…
Contrastive Learning of Sentence Embeddings from Scratch
Junlei Zhang, Zhenzhong Lan, Junxian He
Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings. Previous studies have typically learned sentence embeddings either through the us…
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu +10
New NLP benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present C-Eval, the first comprehensive Chinese evaluation suite desi…
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
Junlei Zhang, Zhenzhong lan
Contrastive learning has been studied for improving the performance of learning sentence embeddings. The current state-of-the-art method is the SimCSE, which takes dropout as the d…