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20222025
most citedAdaptive Circuit Behavior and Generalization in Mechanistic Interpretability

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Detecting and Characterizing Planning in Language Models

Jatin Nainani, Sankaran Vaidyanathan, Connor Watts +2

Modern large language models (LLMs) have demonstrated impressive performance across a wide range of multi-step reasoning tasks. Recent work suggests that LLMs may perform planning…

cs.SE2025

Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graph

Jatin Nainani, Chia-Tung Ho, Anirudh Dhurka +1

Timing analysis is an essential and demanding verification method for Very Large Scale Integrated (VLSI) circuit design and optimization. In addition, it also serves as the corners…

cs.LG2024★ 2 cited

Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability

Jatin Nainani, Sankaran Vaidyanathan, AJ Yeung +2

Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms…

cs.CL2024

CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints

Anirudh Atmakuru, Jatin Nainani, Rohith Siddhartha Reddy Bheemreddy +4

Evaluating the creativity of large language models (LLMs) in story writing is difficult because LLM-generated stories could seemingly look creative but be very similar to some exis…

cs.LG2024

Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability

Jatin Nainani

Large Language Models (LLMs) have experienced a rapid rise in AI, changing a wide range of applications with their advanced capabilities. As these models become increasingly integr…

cs.CV2023

ZeroSearch: Local Image Search from Text with Zero Shot Learning

Jatin Nainani, Abhishek Mazumdar, Viraj Sheth

The problem of organizing and finding images in a user's directory has become increasingly challenging due to the rapid growth in the number of images captured on personal devices.…

q-fin.ST2022

Feature-Rich Long-term Bitcoin Trading Assistant

Jatin Nainani, Nirman Taterh, Md Ausaf Rashid +1

For a long time predicting, studying and analyzing financial indices has been of major interest for the financial community. Recently, there has been a growing interest in the Deep…