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Ryan A. Rossi

13 papers hereh-index 246 citations12 works total

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

author position
  • middle author12

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CV5
  • cs.AI1
  • cs.LG1
same name
  • Ryan A. Rossi — 65 papers, h 37
  • Ryan A. Rossi — 59 papers, h 15
  • Ryan A. Rossi — 38 papers, h 19
  • Ryan A. Rossi — 17 papers, h 10
  • Ryan A. Rossi — 15 papers, h 6
  • Ryan A. Rossi — 14 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
20242026
most citedA Survey on Mechanistic Interpretability for Multi-Modal Foundation Models

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control

Arman Zarei, Samyadeep Basu, Mobina Pournemat +3

Instruction-based image editing models have recently achieved impressive performance, enabling complex edits to an input image from a multi-instruction prompt. However, these model…

cs.CL2025

Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models

Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami +6

Large language models (LLMs) are increasingly used for long-document question answering, where reliable attribution to sources is critical for trust. Existing post-hoc attribution…

cs.LG2025★ 1 cited

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models

Zihao Lin, Samyadeep Basu, Mohammad Beigi +18

The rise of foundation models has transformed machine learning research, prompting efforts to uncover their inner workings and develop more efficient and reliable applications for…

cs.CL2025

On Mechanistic Circuits for Extractive Question-Answering

Samyadeep Basu, Vlad Morariu, Zichao Wang +4

Large language models are increasingly used to process documents and facilitate question-answering on them. In our paper, we extract mechanistic circuits for this real-world langua…

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