activity
20202026
most citedLearning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

58 citations · 140 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations

Buyun Liang, Liangzu Peng, Jinqi Luo +3

Large Language Models (LLMs) are increasingly deployed in high-risk domains. However, state-of-the-art LLMs often exhibit hallucinations, raising serious concerns about their relia…

cs.LG2025

Conformal Information Pursuit for Interactively Guiding Large Language Models

Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban +2

A significant use case of instruction-finetuned Large Language Models (LLMs) is to solve question-answering tasks interactively. In this setting, an LLM agent is tasked with making…

cs.CL2025

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina +1

The development of AI-based methods to analyze radiology reports could lead to significant advances in medical diagnosis, from improving diagnostic accuracy to enhancing efficiency…

cs.CV2025

Concept Lancet: Image Editing with Compositional Representation Transplant

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan +3

Diffusion models are widely used for image editing tasks. Existing editing methods often design a representation manipulation procedure by curating an edit direction in the text em…

cs.CR2025

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs

Buyun Liang, Kwan Ho Ryan Chan, Darshan Thaker +2

Jailbreak attacks exploit specific prompts to bypass LLM safeguards, causing the LLM to generate harmful, inappropriate, and misaligned content. Current jailbreaking methods rely h…