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Arash Vahdat

55 papers hereh-index 307.1k citations70 works total

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

author position
  • middle author35
  • last author17

Across the 52 of 55 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.LG18
  • cs.CL4
  • q-bio.BM3
  • physics.ao-ph2
  • stat.ML2
same name
  • Arash Vahdat — 28 papers, h 30

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
20222026
most citedeDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

223 citations · 727 across the 52 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Large Language Continuous Diffusion Models

Zhihan Yang, Wei Guo, Jean-Marie Lemercier +14

Despite the success of discrete diffusion language models (dLMs) for fast parallel decoding, their non-smooth, high-dimensional space hinders trajectory steering for reasoning and…

cs.CL2026

Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

Zhihan Yang, Wei Guo, Shuibai Zhang +5

While diffusion has drawn considerable recent attention from the language modeling community, continuous diffusion has appeared less scalable than discrete approaches. To challenge…

cs.CL2025

Esoteric Language Models: A Family of Any-Order Diffusion LLMs

Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri +7

Diffusion-based language models offer a compelling alternative to autoregressive (AR) models by enabling parallel and controllable generation. Within this family, Masked Diffusion…

cs.CL2024★ 1 cited

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis +5

Despite remarkable progress in autoregressive language models, alternative generative paradigms beyond left-to-right generation are still being actively explored. Discrete diffusio…

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