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Manling Li

11 papers hereh-index 377 citations18 works total

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

author position
  • middle author6
  • last author3

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CV3
  • cs.LG2
  • cs.CL1
  • cs.RO1
same name
  • Manling Li — 14 papers, h 3
  • Manling Li — 13 papers, h 9
  • Manling Li — 10 papers, h 4
  • Manling Li — 9 papers, h 16
  • Manling Li — 5 papers, h 3
  • Manling Li — 1 paper, h 3

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

works on
benchmarking 1embodied ai 1physical simulation 1self-awareness 1vision-language models 1

From the 1 of 11 linked papers with an AI index.

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Brick-Composer: Using MLLMs for Assembly with Diverse Bricks

Jiateng Liu, Bingxuan Li, Zhenhailong Wang +8

We dream of AI agents that can read arbitrary designs and construct real-world objects from reusable building blocks. As a first step toward this vision, we study whether multimoda…

cs.AI2026

ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment

Hongjue Zhao, Haosen Sun, Jiangtao Kong +8

Activation steering, or representation engineering, offers a lightweight approach to align large language models (LLMs) by manipulating their internal activations at inference time…

cs.AI2026

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents

Simon Sinong Zhan, Yao Liu, Philip Wang +13

We present SENTINEL, a framework for formally evaluating the physical safety of foundation model (FM)-based embodied agents. SENTINEL is the first to provide multi-level safety eva…

cs.AI2025

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents

Kangrui Wang, Pingyue Zhang, Zihan Wang +13

A key challenge in training Vision-Language Model (VLM) agents, compared to Language Model (LLM) agents, lies in the shift from textual states to complex visual observations. This…

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