collaborators

8 papers

cs.LG2026

Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks

Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa +8

Large language models remain vulnerable to jailbreak attacks that bypass safety guardrails to elicit harmful outputs. Defending against novel jailbreaks represents a critical chall…

cs.CV2026

Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization

Muhammad J. Alahmadi, Peng Gao, Feiyi Wang +1

Dataset distillation compresses the original data into compact synthetic datasets, reducing training time and storage while retaining model performance, enabling deployment under l…

cs.CL2026

Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillation

Yuansheng Gao, Peng Gao, Han Bao +4

Mental manipulation on social media poses a covert yet serious threat to individuals' psychological well-being and the integrity of online interactions. Detecting such behavior is…

astro-ph.IM2025

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

Jinghang Shi, Xiaoyu Tang, Yang Huang +4

Astronomical image interpretation presents a significant challenge for applying multimodal large language models (MLLMs) to specialized scientific tasks. Existing benchmarks focus…

cs.AI2025

ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning

Yunhao Wang, Ziting Li, Shuai Chen +6

Aligning large-scale vision-language models (VLMs) for complex reasoning via reinforcement learning is often hampered by the limitations of existing policy optimization algorithms,…

cs.CL2025

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem

Mohammad Shahedur Rahman, Peng Gao, Yuede Ji

Large language models (LLMs) leverage deep learning architectures to process and predict sequences of words, enabling them to perform a wide range of natural language processing ta…