Arnav Attri

Teaching Fellow, Plaksha University

I teach CS and AI courses at Plaksha University and conduct independent research in natural language processing with frontier LLMs, across both closed- and open-source models.

Before joining Plaksha in August 2025, I completed my M.Tech. (CSE-TA) at IIT Bombay, working at the CFILT Lab with Flipkart's research team under the guidance of Prof. Pushpak Bhattacharyya. Most of my papers are written with Anuj Attri.

News

• Nov 2026 Reviewing for ICLR 2027, The Web Conference 2027, and ACL ARR Oct 2026.
• Aug 2026 Same Intent, Different Script published in Findings of EMNLP 2026.
• Jul 2026 Bridging Cognition and Affect published in Findings of ACL 2026.
• Dec 2025 Co-designed the programming challenges for all 5 days of the modular course Reasoning with LLMs at Plaksha (taught by Dr. Niket Tandon, Microsoft Research India).
• Oct 2025 LLMs as Architects and Critics published in Findings of IJCNLP-AACL 2025.
• Aug 2025 Why We Feel What We Feel published in Findings of EMNLP 2025; joined Plaksha University as a Teaching Fellow.
• Jun 2025 Graduated from IIT Bombay with an M.Tech in Computer Science and Engineering.

Reviewer

• Current ICLR 2027 · The Web Conference 2027 (Long Papers) · ACL ARR Oct 2026
• Past NeurIPS 2026 · ACL ARR Aug 2026

Background

• M.Tech, Computer Science and Engineering (TA) · IIT Bombay 2023 – 2025 · GPA 8.85/10

  Advisor: Prof. Pushpak Bhattacharyya (in loving memory). Scored 10/10 in Master's Thesis Project Part 1 (MTP1), Part 2 (MTP2), and Research & Development Project (R&D 1), all conducted at CFILT Lab with Flipkart's research team. Also administered the lab's Nvidia A40 GPU servers and was nominated among 7 students for IIT Bombay's Dr. Shankar Dayal Sharma Gold Medal.

• UGC-NET Qualified 2017
  Eligible for Assistant Professor in Computer Science and Engineering.