Title |
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 AutoBench-V: Can Large Vision-Language Models Benchmark Themselves? Han Bao Yue Huang Yanbo Wang Jiayi Ye Xiangqi Wang Xiuying Chen Mohamed Elhoseiny Xuzhi Zhang Mohamed Elhoseiny Xiangliang Zhang |
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 Self-evolving Agents with reflective and memory-augmented abilities Xuechen Liang Yangfan He Yinghui Xia Xinyuan Song Jianhui Wang ...Keqin Li Jiaqi Chen Jinsong Yang Siyuan Chen Tianyu Shi |
 The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models Seungone Kim Juyoung Suk Ji Yong Cho Shayne Longpre Chaeeun Kim ...Sean Welleck Graham Neubig Moontae Lee Kyungjae Lee Minjoon Seo |
 A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou |
![Tur[k]ingBench: A Challenge Benchmark for Web Agents](/_next/image?url=https%3A%2F%2Fcdn.parameterlab.de%2Fpapers%2F2403.11905%2Fpages%2Fpage-1-q80d300.jpg&w=256&q=75) Tur[k]ingBench: A Challenge Benchmark for Web Agents Kevin Xu Yeganeh Kordi Kate Sanders Yizhong Wang Adam Byerly Kate Sanders Adam Byerly Jingyu Zhang Benjamin Van Durme Daniel Khashabi |
