22 citations · 48 across the 18 of their papers we have counts for
7 papers · 1 filter
Aura: Dynamic Intra-Turn Emotion-Aware Adaptation of Large Language Model Responses
Rachel Schuchert, Christian Holz
Effective human-AI interaction requires systems that dynamically adapt to a user's behavior and evolving understanding. When users interact with Large Language Models (LLMs), these…
EgoPHI: Estimating 3D Hand-Object Contact and Force from Egocentric Vision
Andela Ilic, Rachel Schuchert, Yijing Jiang +1
Understanding hand-object interaction from egocentric vision is essential for modeling how people physically engage with the surrounding world. Yet reasoning about physically groun…
Retrofitting Existing 3D Objects with Surface-Conforming Capacitive Sensing
Andela Ilic, Junpeng Gao, Zhipeng Li +5
Augmenting the surface of 3D objects with capacitive sensing is challenging when their volumes cannot be modified. In this paper, we present a generative computational fabrication…
EgoExoMoCap: Distributed Ego-Exo Human Motion Capture
Jiaxi Jiang, Bharat Lal Bhatnagar, Nan Yang +6
Human motion capture from head-mounted devices (HMDs) offers a scalable way to acquire real-world human motion and interaction data, which is crucial for applications in embodied A…
EgoHTR: Egocentric 4D Demonstrations of Human Terrain Traversal
Alex Brandes, Haig Conti Georges Sajelian, Manthan Patel +11
Deploying humanoid robots in unstructured terrain remains an open problem. While classic reinforcement learning struggles with the sheer complexity of real-world interactions, more…
Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration
Akhiad Bercovich, Nir Ailon, Vladimir Anisimov +21
Reasoning-focused LLMs improve answer quality by generating longer reasoning traces, but the additional tokens dramatically increase serving cost, motivating inference optimization…
Preference-Guided Prompt Optimization for Text-to-Image Generation
Zhipeng Li, Yi-Chi Liao, Christian Holz
Generative models are increasingly powerful, yet users struggle to guide them through prompts. The generative process is difficult to control and unpredictable, and user instructio…