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20232026
most citedEvolving Domain Adaptation of Pretrained Language Models for Text Classification

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Signed Compression Progress on a Sealed Audit is Goodhart-Resistant

Ayush Mittal, Dhruv Gupta

Compression progress is a long-standing proposal for intrinsic motivation: reward an agent when its world model becomes better at predicting or compressing experience. The folk cla…

cs.CR2025

Do You Really Need a GPU to Guard Your LLM? CPU-Class Classifiers and Multi-Stage Pipelines for Safety Enforcement at Scale

Vasudev Majhi, Dhruv Gupta, Advait Singh +2

Safety classifiers that screen LLM inputs for jailbreak attempts have become standard deployment components, yet almost all production systems rely on GPU-based models: fine-tuned…

cs.LG2025

eDCF: Estimating Intrinsic Dimension using Local Connectivity

Dhruv Gupta, Aditya Nagarsekar, Vraj Shah +1

Modern datasets often contain high-dimensional features exhibiting complex dependencies. To effectively analyze such data, dimensionality reduction methods rely on estimating the d…

cs.CL2025

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization

Dhruv Gupta, Gayathri Ganesh Lakshmy, Yiqing Xie

Retrieval-Augmented Code Generation (RACG) is a critical technique for enhancing code generation by retrieving relevant information. In this work, we conduct an in-depth analysis o…

cs.CL2023★ 1 cited

Evolving Domain Adaptation of Pretrained Language Models for Text Classification

Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta +7

Adapting pre-trained language models (PLMs) for time-series text classification amidst evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance…