15 citations · 15 across the 3 of their papers we have counts for
3 papers
Reward Hacking in Language Model Agents: Revisiting AI Safety Gridworlds
Ömer Veysel Çağatan, Xuandong Zhao
Reward hacking, where AI systems exploit misspecified objectives to achieve high reward without satisfying intended goals, remains a central challenge in AI safety. Yet most known…
Clipping-Free Policy Optimization for Large Language Models
Ömer Veysel Çağatan, Barış Akgün, Gözde Gül Şahin +1
Reinforcement learning has become central to post-training large language models, yet dominant algorithms rely on clipping mechanisms that introduce optimization issues at scale, i…
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more co…