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Xiang Wang

19 papers hereh-index 8665 citations20 works total

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

author position
  • middle author17
  • last author2

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.IR4
  • cs.LG4
  • cs.CV3
  • cs.AI1
  • q-bio.QM1
same name
  • Xiang Wang — 41 papers, h 21
  • Xiang Wang — 36 papers, h 35
  • Xiang Wang — 27 papers, h 14
  • Xiang Wang — 26 papers, h 15
  • Xiang Wang — 24 papers, h 35
  • Xiang Wang — 24 papers, h 15

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
20232026
most citedTowards 3D Molecule-Text Interpretation in Language Models

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

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias

Zixiang Xu, Sixian Li, Huaxing Liu +4

Existing studies of LLM-as-judge scoring bias work predominantly at the input-output level: they perturb inputs, measure score deltas, and propose prompt-level mitigations. We argu…

cs.LG2026

Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts

Xiangtian Ji, Yuxin Chen, Zhengzhou Cai +3

Large language models (LLMs) display strong comprehensive abilities, yet the internal mechanisms that support these behaviors remain insufficiently understood. In this work, we sho…

cs.LG2025

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling

Yanchen Luo, Zhiyuan Liu, Yi Zhao +6

3D molecule generation is crucial for drug discovery and material science, requiring models to process complex multi-modalities, including atom types, chemical bonds, and 3D coordi…

cs.LG2024★ 8 cited

Towards 3D Molecule-Text Interpretation in Language Models

Sihang Li, Zhiyuan Liu, Yanchen Luo +5

Language Models (LMs) have greatly influenced diverse domains. However, their inherent limitation in comprehending 3D molecular structures has considerably constrained their potent…

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