Leqi Liu
Assistant Professor
Builds and studies large language models through the HUMAIN Lab, focusing on controllable and human-centered machine intelligence.
Leqi Liu's lab at UT Austin works on large language models. 3 papers since 2023, 2 at top venues, mostly ICML and NeurIPS. 8 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 67%
- PhD students
- 8
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models1 paper
- studies large0 papers
- controllable0 papers
- machine intelligence0 papers
- risk0 papers
Paper list
From the lab homepage.
20261 paper
- COLMFiltered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces
20252 papers
- ICML (T1)EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
- NeurIPS (T1)ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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