Srini Iyer

Principal Researcher, FAIR, Facebook

Joined

November 2018

Names

Srini Iyer (Preferred)

Srinivasan Iyer

Emails

****@cs.washington.edu (Confirmed)

****@fb.com (Confirmed)

****@uw.edu (Confirmed)

****@meta.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Principal Researcher

FAIR, Facebook (meta.com)

2020 – Present

PhD student

CSE, Department of Computer Science, University of Washington (cs.washington.edu)

2014 – 2019

MS student

Stanford University (stanford.edu)

2010 – 2013

Advisors, Relations & Conflicts

Coauthor

Yannis Konstas

2015 – Present

PhD Advisor

Luke Zettlemoyer

2014 – Present

Expertise

semantic parsing

language to code

text to sql

sql generation

code generation

2014 – Present

code summarization

AMR parsing

AMR generation

context

2014 – Present

Publications

Latent Speech-Text Transformer
Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesus Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srini Iyer, Duc Le
- ICLR 2026 Oral
- Readers: Everyone
ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
Joongwon Kim, Anirudh Goyal, Liang Tan, Hannaneh Hajishirzi, Srini Iyer, Tianlu Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Byte Latent Transformer: Patches Scale Better Than Tokens
Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodriguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
- TokShop
- Readers: Everyone
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Xi Victoria Lin
- MCDC @ ICLR 2025
- Readers: Everyone
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
- ICLR 2025 DeLTa Workshop Poster
- Readers: Everyone
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
- ICLR 2025 Workshop World Models
- Readers: Everyone
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
- Accepted by TMLR
- Readers: Everyone
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
- CPAL 2025 (Recent Spotlight Track)
- Readers: Everyone
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srini Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer
- EMNLP 2023 Findings
- Readers: Everyone

View all 38 publications

Co-Authors

View all 84 co-authors