Silviu Pitis
Assistant Professor, EECS – Computer Science and Engineering
Studies goals and rewards for intelligent agents, including reinforcement learning, language-model agents and aligning agents that serve multiple principals.
Silviu Pitis's lab at Michigan works on reinforcement learning. 11 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 3 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- agents2 papers
- Reinforcement learning1 paper
- multiple0 papers
- language-model0 papers
- intelligent0 papers
Paper list
From the lab homepage.
20262 papers
- Jessica Tang, Silviu Pitis, Sheila McIlraith · Workshop · PDFOptimizing a Margin of Safety via Prompt Repair for Large Language Models
- Silviu PitisRationalizing Boltzmann Rationality: An Axiomatic Characterization of Entropy-Regularized Policies
20251 paper
- Silviu PitisSimulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
20243 papers
- Silviu PitisIdentifying the Risks of LM Agents with an LM-Emulated Sandbox
- Silviu PitisImproving Context-Aware Preference Modeling for Language Models
- Silviu PitisReport Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
20235 papers
- Mingjian Jiang, Yangjun Ruan, Sicong Huang, Saifei Liao, Silviu Pitis, Roger Grosse, Jimmy Ba · Workshop · LinkCalibrating Language Models via Augmented Prompt Ensembles
- Silviu Pitis, Ziang Xiao, Alessandro Sordoni · Workshop · PDFCanonical Design for Language Agents using Natural Language Reward Models
- Silviu PitisConsistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
- Silviu PitisFailure Modes of Learning Reward Models for LLMs and Other Sequence Models
- Silviu PitisLarge Language Models Are Human-Level Prompt Engineers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
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- Alumni
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