7 papers
Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks
Mengyu Zheng, Kai Han, Boxun Li +13
The software engineering capabilities of general-purpose agent harnesses remain underexplored, and existing benchmarks offer limited support for comparing these harnesses under con…
SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models
Wanqi Yang, Yanda Li, Yunchao Wei +2
Large audio-language models (LALMs) have achieved near-human performance in sentence-level transcription and emotion recognition. However, existing evaluations focus mainly on surf…
M4V: Multimodal Mamba for Efficient Text-to-Video Generation
Jiancheng Huang, Gengwei Zhang, Zequn Jie +5
Text-to-video generation has significantly enriched content creation and holds the potential to evolve into powerful world simulators. However, modeling the vast spatiotemporal spa…
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
Wanqi Yang, Yanda Li, Meng Fang +2
Adversarial audio attacks pose a significant threat to the growing use of large audio-language models (LALMs) in voice-based human-machine interactions. While existing research foc…
Foundations and Recent Trends in Multimodal Mobile Agents: A Survey
Biao Wu, Yanda Li, Zhiwei Zhang +3
Mobile agents are essential for automating tasks in complex and dynamic mobile environments. As foundation models evolve, the demands for agents that can adapt in real-time and pro…
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang, Liyuan Wang, Guoliang Kang +2
In recent years, continual learning with pre-training (CLPT) has received widespread interest, instead of its traditional focus of training from scratch. The use of strong pre-trai…
AppAgent v2: Advanced Agent for Flexible Mobile Interactions
Yanda Li, Chi Zhang, Wenjia Jiang +6
With the advancement of Multimodal Large Language Models (MLLM), LLM-driven visual agents are increasingly impacting software interfaces, particularly those with graphical user int…