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cs.CL2024

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Zhiyong Wu, Zhenyu Wu, Fangzhi Xu +8

Existing efforts in building GUI agents heavily rely on the availability of robust commercial Vision-Language Models (VLMs) such as GPT-4o and GeminiProVision. Practitioners are of…

cs.CL2024

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models

Jiyue Jiang, Pengan Chen, Liheng Chen +5

The rapid evolution of large language models (LLMs) has transformed the competitive landscape in natural language processing (NLP), particularly for English and other data-rich lan…

cs.CL2024

Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting

Jiyue Jiang, Liheng Chen, Sheng Wang +3

Existing dialogue data augmentation (DA) techniques predominantly focus on augmenting utterance-level dialogues, which makes it difficult to take dialogue contextual information in…

cs.CL2024

LoRA Meets Dropout under a Unified Framework

Sheng Wang, Liheng Chen, Jiyue Jiang +3

With the remarkable capabilities, large language models (LLMs) have emerged as essential elements in numerous NLP applications, while parameter-efficient finetuning, especially LoR…

cs.CL2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Jiacheng Ye, Shansan Gong, Liheng Chen +8

Recently, diffusion models have garnered significant interest in the field of text processing due to their many potential advantages compared to conventional autoregressive models.…