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T. Le

24 papers hereh-index 10589 citations37 works total

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

author position
  • sole author1
  • first author7
  • middle author14
  • last author1

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG6
  • cs.AI2
same name
  • T. Le — 52 papers, h 34
  • T. Le — 40 papers, h 27
  • T. Le — 21 papers, h 13
  • T. Le — 19 papers, h 10
  • T. Le — 18 papers, h 16
  • T. Le — 13 papers, h 4

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 citedHierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

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

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis

Thong Bach, Dung Nguyen, Thao Minh Le +1

Existing attacks and defenses for diffusion-based large language models (dLLMs) target specific vulnerabilities but lack a shared framework explaining why attacks succeed. We propo…

cs.AI2026

EmoLASP: Emotion Recognition with Language Models and Answer Set Programming

Thao Le, Michael Thielscher

Emotion recognition in conversations is increasingly tackled with language models, but these models can be unstable and expensive to fine-tune or to prompt with long dialogue histo…

cs.CV2026

ASV3D: Adapting Diffusion-Based Single-View 3D Reconstruction with Extra Imagery

Y Huynh, Duc Thanh Nguyen, Thao Minh Le +1

Reconstruction of 3D objects from a single image is a fundamental research topic in computer vision. The key challenge is the lack of information from critical viewpoints to comple…

cs.LG2026

Continual Safety Alignment via Gradient-Based Sample Selection

Thong Bach, Dung Nguyen, Thao Minh Le +1

Large language models require continuous adaptation to new tasks while preserving safety alignment. However, fine-tuning on even benign data often compromises safety behaviors, inc…

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