…Across persona-steering experiments, GCAD preserves trait control while substantially improving long-horizon coherence. On the main multi-turn benchmark, GCAD improves average coherence drift from -18.6 to -1.9 and…
…https://github.com/mozilla-ai/any-agent/blob/main/src/any_agent/frameworks/tinyagent.py . · wow, this is super cool! It is a very cool Idea, I have converted your javascript to…
…Preventing Indirect Prompt Injection in Personal AI Agents (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face…
…Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data (2026) FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels (2026) FB-NLL: A Feature…
…Karlsson Abstract ExoActor uses third-person video generation as a unified interface to model interaction dynamics between robots, environments, and objects, enabling task-conditioned humanoid behaviors through motion estimation and execution. AI…
…Unified Native 3D Understanding and Generation via Mixture-of-Transformers Published on May 16 Submitted by SeeleAI on Jun 2 SEELE AI Authors: Zongyuan Yang , , , , , , , , , , Abstract EVA01 enables native 3D mesh integration…
…Given that personas are abundant at billion scale, this methodology can in principle scale to millions or even billions of synthetic user worlds with sufficient compute, enabling broader coverage of diverse professions…
…HumanNet spans both first-person and third-person perspectives and covers fine-grained activities, human-object interactions, tool use, and long-horizon behaviors across diverse real-world environments. Beyond raw video, the…
…InteractWeb-Bench introduces four types of user agents and persona-driven instruction perturbations to systematically simulate diverse user behaviors, including ambiguity, redundancy, and contradiction, grounded in requirement engineering defect taxonomies . We develop…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential settings, yet the visual cues that shape how these models judge…