activity
20242026
most citedA Survey on LLM Inference-Time Self-Improvement

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions

Jason Kim, Maria Teleki, James Caverlee

Prompting is central to interaction with AI systems, yet many users struggle to explore alternative directions, articulate creative intent, or understand how variations in prompts…

cs.CL2025

CHOIR: Collaborative Harmonization fOr Inference Robustness

Xiangjue Dong, Cong Wang, Maria Teleki +2

Persona-assigned Large Language Models (LLMs) can adopt diverse roles, enabling personalized and context-aware reasoning. However, even minor demographic perturbations in personas,…

cs.CL2025

Z-Scores: A Metric for Linguistically Assessing Disfluency Removal

Maria Teleki, Sai Janjur, Haoran Liu +10

Evaluating disfluency removal in speech requires more than aggregate token-level scores. Traditional word-based metrics such as precision, recall, and F1 (E-Scores) capture overall…

cs.CL2025

Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models

Maria Teleki, Xiangjue Dong, Haoran Liu +1

Masculine defaults are widely recognized as a significant type of gender bias, but they are often unseen as they are under-researched. Masculine defaults involve three key parts: (…

cs.CL20241 cited

A Survey on LLM Inference-Time Self-Improvement

Xiangjue Dong, Maria Teleki, James Caverlee

Techniques that enhance inference through increased computation at test-time have recently gained attention. In this survey, we investigate the current state of LLM Inference-Time…