1.5k citations
- IBM (United States)US15 papers
- IBM Research - Thomas J. Watson Research CenterUS8 papers
- Massachusetts Institute of TechnologyUS5 papers
- IBM Research - AlmadenUS4 papers
- University of MichiganUS4 papers
- IBM Research - ZurichCH3 papers
- Arizona State UniversityUS2 papers
- Columbia UniversityUS2 papers
- IBM Research - HaifaIL2 papers
- IBM Research - IrelandIE2 papers
- IT University of CopenhagenDK2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
32 papers
MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria
Charles Chiang, Simret Gebreegziabher, Annalisa Szymanski +6
LLM-as-a-judge approaches have emerged as a scalable solution for evaluating model behaviors, yet they rely on evaluation criteria often created by a single individual, embedding t…
Understanding and Tackling Over-Dilution in Graph Neural Networks
Junhyun Lee, Veronika Thost, Bumsoo Kim +2
Message Passing Neural Networks (MPNNs) hold a key position in machine learning on graphs, but they struggle with unintended behaviors, such as over-smoothing and over-squashing, d…
Semiconductor SEM Image Defect Classification Using Supervised and Semi-Supervised Learning with Vision Transformers
Chien-Fu, Huang, Katherine Sieg +4
Controlling defects in semiconductor processes is important for maintaining yield, improving production cost, and preventing time-dependent critical component failures. Electron be…
Interaction Configurations and Prompt Guidance in Conversational AI for Question Answering in Human-AI Teams
Jaeyoon Song, Zahra Ashktorab, Qian Pan +3
Understanding the dynamics of human-AI interaction in question answering is crucial for enhancing collaborative efficiency. Extending from our initial formative study, which reveal…
Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach
Stephanie Houde, Kristina Brimijoin, Michael Muller +6
Conversational AI agents are commonly applied within single-user, turn-taking scenarios. The interaction mechanics of these scenarios are trivial: when the user enters a message, t…
A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
Jiawei Zhou, Amy Z. Chen, Darshi Shah +2
Recent breakthroughs in large language models (LLMs) have generated both interest and concern about their potential adoption as information sources or communication tools across di…