14 citations · 18 across the 7 of their papers we have counts for
7 papers
Towards Understanding the Influence of Reward Margin on Preference Model Performance
Bowen Qin, Duanyu Feng, Xi Yang
Reinforcement Learning from Human Feedback (RLHF) is a widely used framework for the training of language models. However, the process of using RLHF to develop a language model tha…
Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty
Bo Fu, Tribhi Kathuria, Denise Rizzo +4
This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. A simultaneous matching and routing problem (SMRP)…
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the huma…
A Benchmark for Chinese-English Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Wangmeng Xiang +2
Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR)…
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust-aware human-robot interaction (HRI) has received increasing research attention, as trust has been shown to be a crucial factor for effective HRI. Research in trust-aware HRI…
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections
Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang +1
In mixed traffic environments that involve conventional vehicles (CVs) and autonomous vehicles (AVs), it is crucial for CV drivers to maintain an appropriate level of situation awa…