Dissecting model behavior through agent trajectories
arXiv:2606.17454v2 Announce Type: replace
Abstract: AI agent performance is not just a modeling problem, it is fundamentally a systems problem. The advanced capabilities of models are realized…
arXiv:2606.17454v2 Announce Type: replace
Abstract: AI agent performance is not just a modeling problem, it is fundamentally a systems problem. The advanced capabilities of models are realized…
arXiv:2606.16533v2 Announce Type: replace
Abstract: World models are transitioning from passive visual generators to foundational, operational infrastructure for Physical AI: they must natively…
arXiv:2606.18193v1 Announce Type: cross
Abstract: We evaluate the adversarial robustness of two frontier large language models (LLMs) developed by Anthropic, Fable 5 and Opus 4.8, against four…
arXiv:2604.22748v3 Announce Type: replace
Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a…
arXiv:2507.11366v2 Announce Type: replace-cross
Abstract: We study online optimization methods for zero-sum games, a fundamental problem in adversarial learning in machine learning, economics, and…
arXiv:2604.24357v2 Announce Type: replace
Abstract: Diffusion language models generate without a fixed left-to-right order, leaving token ordering as a central algorithmic choice. Existing systems…
arXiv:2606.16379v2 Announce Type: replace
Abstract: Evaluating representation similarity is fundamental to representation learning. However, existing metrics suffer from significant limitations:…
arXiv:2606.01561v2 Announce Type: replace
Abstract: Aligning Large Language Models (LLMs) with human preferences is often formulated via Direct Preference Optimization (DPO). However, the standard…
arXiv:2606.16910v1 Announce Type: cross
Abstract: IMPACTeen is a dataset of textual social influence scenarios spanning interpersonal, media-based, and digital settings in an adolescent context. It…
arXiv:2601.05746v2 Announce Type: replace
Abstract: Recent years have witnessed the rapid development of Large Language Model-based Multi-Agent Systems (MAS), which excel at collaborative…