activity
20152026
most citedAn Overview of Machine Teaching

102 citations · 256 across the 62 of their papers we have counts for

collaborators
Showing 2025Show all

14 papers · 1 filter

cs.HC2025

Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

Chao Wen, Tung Phung, Pronita Mehrotra +4

Generative AI has democratized content creation, but popular chatbot-based interfaces often prioritize execution, generating fully rendered artifacts right away. This issue can lea…

cs.LG2025

Inference-Time Personalized Alignment with a Few User Preference Queries

Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar +2

We study the problem of aligning a generative model's response with a user's preferences. Recent works have proposed several different formulations for personalized alignment; howe…

cs.LG2025

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs

Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

Training agents to operate under strict constraints during deployment, such as limited resource budgets or stringent safety requirements, presents significant challenges, especiall…

cs.AI2025

Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations

Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla

The difficulty and expense of obtaining large-scale human responses make Large Language Models (LLMs) an attractive alternative and a promising proxy for human behavior. However, p…

cs.CY20251 cited

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback

Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar +4

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current a…

cs.CY2025

Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints

Tung Phung, Mengyan Wu, Heeryung Choi +4

Generative AI has the potential to enhance education by providing personalized feedback to students at scale. Recent work has proposed techniques to improve AI-generated programmin…