J.D. Zamfirescu-Pereira

schoolUniversity of California - Berkeleybar_chart#870 Global Rank

Total Papers

HCI Rank

#870

Research Areas

Years Active

Recent Publications

Latest papers from J.D. Zamfirescu-Pereira

IUI '262nd AuthorHuman-LLM Collaboration +2

"Un-default" Behavior Tuning: Specifying Model Behavior outside the Norm with LLM Self-Playing and Self-Improving

Specifying model behavior is challenging—especially when the desired behavior is unpopular relative to the model’s training data. Reversing the influence of massive training corpora is both time-consuming and costly, and such interventions are typically inaccessible to end users. While Large Language Models (LLMs) mak…

CHI '262nd AuthorGenerative AI (Text, Image, Music, Video) +3

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Traditional human-computer interaction takes place through formally-specified systems like structured UIs and programming languages. Recent AI systems promise a new set of informal interactions with computers through natural language and other notational forms. These informal interactions can then lead to formal repre…

CHI '251st AuthorHonorable MentionGenerative AI (Text, Image, Music, Video) +2

Beyond Code Generation: LLM-supported Exploration of the Program Design Space

In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem formulations and associated solutions in an iterative fashion. LLMs are potentially power…

UIST '242nd AuthorHuman-LLM Collaboration

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Due to the cumbersome nature of human evaluation and limitations of code-based evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in evaluating LLM outputs. Yet LLM-generated evaluators simply inherit all the problems of the LLMs they evaluate, requiring further human validation. We…

CHI '242nd AuthorGenerative AI (Text, Image, Music, Video) +2

Prompting for Discovery: Flexible Sense-Making for AI Art-Making with Dreamsheets

Design space exploration (DSE) for Text-to-Image (TTI) models entails navigating a vast, opaque space of possible image outputs, through a commensurately vast input space of hyperparameters and prompt text. Perceptually small movements in prompt-space can surface unexpectedly disparate images. How can interfaces suppo…

CHI '243rd AuthorVoice User Interface (VUI) Design +2

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation

Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This paper presents Rambler, an LLM-powered graphical user interface that supports gist-level manipulation of dictated text with two main set…

DIS '231st AuthorConversational Chatbots +1

Herding AI Cats: Lessons from Designing a Chatbot by Prompting GPT-3

Prompting Large Language Models (LLMs) is an exciting new approach to designing chatbots. But can it improve LLM’s user experience (UX) reliably enough to power chatbot products? Our attempt to design a robust chatbot by prompting GPT-3/4 alone suggests: not yet. Prompts made achieving “80%” UX goals easy, but not the…

CHI '231st AuthorHuman-LLM Collaboration +1

Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

Pre-trained large language models ("LLMs") like GPT-3 can engage in fluent, multi-turn instruction-taking out-of-the-box, making them attractive materials for designing natural language interactions. Using natural language to steer LLM outputs ("prompting") has emerged as an important design technique potentially acce…

AUTO_UI '195th+ AuthorAutomated Driving Interface & Takeover Design

How People Experience Autonomous Intersections: Taking a First-Person Perspective

Top-down simulations of autonomous intersections neglect considerations for the human experience of being in cars driving through these autonomous intersections. To understand the impact that perspective has on perception of autonomous intersections, we conducted a driving simulator experiment and studied the experien…

CHI '192nd AuthorHonorable MentionDesktop 3D Printing & Personal Fabrication +2

Heimdall: A Remotely Controlled Inspection Workbench For Debugging Microcontroller Projects

Students and hobbyists build embedded systems that combine sensing, actuation and microcontrollers on solderless breadboards. To help students debug such circuits, experienced teachers apply visual inspection, targeted measurements, and circuit modifications to diagnose and localize the problem(s). However, experience…

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