AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
The article presents a visualization approach to explore the statuses and behaviors of agents within Large Language…
BiasEye: A Bias-Aware Real-time Interactive Material Screening System for Impartial Candidate Assessment
The article presents BiasEye, a system developed to assist in the material screening process during recruitment. The…
Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance Systems
The article discusses the use of Extended Reality (XR) technologies in aiding individuals to learn motor skills,…
Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support
LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) for mental health support….
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
The article discusses the role of large language models (LLMs) in chemistry, focusing on tasks such as…
Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support
This research investigates the usage of large language model (LLM) based chatbots by LGBTQ+ individuals for mental…
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
The paper introduces VisLingInstruct, an innovative method to improve Multi-Modal Language Models (MMLMs) in zero-shot learning tasks….
Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support
The paper presents a new innovative approach to Multiple-criteria Decision Analysis (MCDA) in cybersecurity by integrating the…
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
The paper introduces SemTra, a framework for zero-shot adaptation of semantic skills in cross-domain settings. Semantic skills…
On the Transit Obfuscation Problem
This paper by Hideaki Takahashi and Alex Fukunaga from The University of Tokyo discusses the Transit Obfuscation…