48 citations · 212 across the 16 of their papers we have counts for
17 papers
EmailBench: A Benchmark for Evaluating LLM Agents on Enterprise Email and Productivity Tasks
Mukul Singh, Mansi Uniyal, Devin Devlin +5
Enterprise email agents must combine information retrieval, structured state changes, temporal reasoning, and multi-step coordination. Recent agent benchmarks include productivity…
Users Mispredict Their Own Preferences for AI Writing Assistance
Vivian Lai, Zana Buçinca, Nil-Jana Akpinar +5
Proactive AI writing assistants need to predict when users want drafting help, yet we lack empirical understanding of what drives preferences. Through a factorial vignette study wi…
VLM-SlideEval: Evaluating VLMs on Structured Comprehension and Perturbation Sensitivity in PPT
Hyeonsu Kang, Emily Bao, Anjan Goswami
Vision-language models (VLMs) are increasingly used to evaluate multimodal content, including presentation slides, yet their slide-specific understanding remains underexplored {des…
BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer
Hyeonsu Kang, David Chuan-en Lin, Yan-Ying Chen +3
We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting divers…
Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro +3
With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to i…
PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
Yoonjoo Lee, Hyeonsu B. Kang, Matt Latzke +4
With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that ar…
Mitigating Barriers to Public Social Interaction with Meronymous Communication
Nouran Soliman, Hyeonsu B Kang, Matthew Latzke +4
In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behav…
Imitation of Life: A Search Engine for Biologically Inspired Design
Hen Emuna, Nadav Borenstein, Xin Qian +4
Biologically Inspired Design (BID), or Biomimicry, is a problem-solving methodology that applies analogies from nature to solve engineering challenges. For example, Speedo engineer…
BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation
Hyeonsu B. Kang, David Chuan-En Lin, Nikolas Martelaro +3
Nature is often used to inspire solutions for complex engineering problems, but achieving its full potential is challenging due to difficulties in discovering relevant analogies an…
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking
Hyeonsu B. Kang, Sherry Tongshuang Wu, Joseph Chee Chang +1
Efficiently reviewing scholarly literature and synthesizing prior art are crucial for scientific progress. Yet, the growing scale of publications and the burden of knowledge make s…
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head +52
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…
ComLittee: Literature Discovery with Personal Elected Author Committees
Hyeonsu B. Kang, Nouran Soliman, Matt Latzke +2
In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors.…
Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature
Hyeonsu B. Kang, Joseph Chee Chang, Yongsung Kim +1
Reviewing the literature to understand relevant threads of past work is a critical part of research and vehicle for learning. However, as the scientific literature grows the challe…
Augmenting Scientific Creativity with Retrieval across Knowledge Domains
Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang +5
Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existin…
Augmenting Scientific Creativity with an Analogical Search Engine
Hyeonsu B. Kang, Xin Qian, Tom Hope +3
Analogies have been central to creative problem-solving throughout the history of science and technology. As the number of scientific papers continues to increase exponentially, th…
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head +6
The ever-increasing pace of scientific publication necessitates methods for quickly identifying relevant papers. While neural recommenders trained on user interests can help, they…
Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas
Tom Hope, Ronen Tamari, Hyeonsu Kang +4
Large repositories of products, patents and scientific papers offer an opportunity for building systems that scour millions of ideas and help users discover inspirations. However,…