Arvindh
Arun
Hello There, I'm an ELLIS and IMPRS-IS PhD student advised by Steffen Staab and Antonio Vergari.
I'm interested in building and evaluating the next generation of Foundation Models (all kinds).
Open-ended LLM Forecasting
Long Horizon Benchmarking
Memory for LLMs
Graph Reasoning
Currently, I am a Research Scientist intern at 
Sakana AI.
Previously, I have done research at/with 
Google DeepMind and 
JPMorgan Chase's Investment Banking Division.
I love getting mails, reach out to me through my email!
News
May 2026
Started as a Research Scientist intern at Sakana AI in Tokyo 🇯🇵
Sakana AI in Tokyo 🇯🇵Apr 2026
Attending ICLR in Rio 🇧🇷
Jan 2026
Our work on Measuring Long Horizon Execution in LLMs accepted to ICLR 2026.
Nov 2025
Attending EMNLP in Suzhou 🇨🇳
Oct 2025
Our work on isolating and benchmarking long-horizon execution capabilities of LLMs accepted to MTI-LLM @ NeurIPS 2025.
Aug 2025
Our work on Foundation Models for KGs (SEMMA) to appear in the Main track of EMNLP 2025.
Jul 2025
Attending ICML in Vancouver 🇨🇦
Jun 2025
Attending Y Combinator's AI Startup School in San Francisco 🇺🇸
May 2025
Our work on Corrective Unlearning in GNNs accepted to ICML 2025.
Mar 2025
Now part of the MPI IMPRS-IS PhD program.
Feb 2025
Aug 2024
Joined ELLIS PhD Program advised by Steffen Staab (ELLIS Unit, Stuttgart 🇩🇪) and Antonio Vergari (University of Edinburgh 🇬🇧).
Jun 2024
Attending NAACL in Mexico city 🇲🇽 (virtually)
May 2024
Graduated with a BTech + MS in Computer Science from IIIT Hyderabad 🇮🇳
Apr 2024
Our work on network effects accepted to WOAH @ NAACL 2024.
Feb 2024
Attended Google Research Week 2024 in Bangalore.
Jan 2024
Started working with InfoNet team at Google DeepMind.
Oct 2023
Attended ECAI 2023 in Krakow 🇵🇱 and visited ETH Zurich 🇨ðŸ‡
Jun 2023
Our work on imposing fairness constraints in GNNs accepted as Oral at ECAI 2023.
May 2023
Joining JPMorgan's Corporate Investment Banking Division's AI/ML team as an intern!
May 2022
I am joining as a research intern with Prof. Hong Cheng at the Chinese University of Hong Kong ðŸ‡ðŸ‡°
Apr 2022
Our work on fraud detection on google play store to appear in ACM Hypertext 2022.
Aug 2021
Our submission to GermEval 2021 Shared Task ranks 6th globally.
May 2021
I am joining the Precog Research lab for my matsers thesis, working with Prof. Ponnurangam Kumaraguru "PK".
Selected Publications
ICLR 2026