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Shuo Li

10 papers hereh-index 10553 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.RO2
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • eess.SY1
same name
  • Shuo Li — 13 papers, h 6
  • Shuo Li — 11 papers
  • Shuo Li — 11 papers, h 4
  • Shuo Li — 10 papers, h 32
  • Shuo Li — 10 papers, h 4
  • Shuo Li — 9 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedRobust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics

7 citations · 17 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

SeekerGym: A Benchmark for Reliable Information Seeking

Remy Kim, Minseung Lee, Shuo Li +1

Despite their substantial successes, AI agents continue to face fundamental challenges in terms of trustworthiness. Consider deep research agents, tasked with searching for informa…

cs.LG2025

Alignment of large language models with constrained learning

Botong Zhang, Shuo Li, Ignacio Hounie +3

We study the problem of computing an optimal large language model (LLM) policy for the constrained alignment problem, where the goal is to maximize a primary reward objective while…

cs.LG2024

Conformal Structured Prediction

Botong Zhang, Shuo Li, Osbert Bastani

Conformal prediction has recently emerged as a promising strategy for quantifying the uncertainty of a predictive model; these algorithms modify the model to output sets of labels…

cs.LG2020★ 6 cited

PAC Confidence Predictions for Deep Neural Network Classifiers

Sangdon Park, Shuo Li, Insup Lee +1

A key challenge for deploying deep neural networks (DNNs) in safety critical settings is the need to provide rigorous ways to quantify their uncertainty. In this paper, we propose…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.