3 citations · 5 across the 12 of their papers we have counts for
12 papers
The Tilted Playing Field for Women in Science
Casandra Rusti, Hussain Hussain, Kian Ahrabian +4
Institutional prestige shapes access to resources, visibility, and collaboration opportunities in science. Yet whether prestige benefits researchers equally, and how it relates to…
Toward Better Temporal Structures for Geopolitical Events Forecasting
Kian Ahrabian, Eric Boxer, Jay Pujara
Forecasting on geopolitical temporal knowledge graphs (TKGs) through the lens of large language models (LLMs) has recently gained traction. While TKGs and their generalization, hyp…
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning
Navapat Nananukul, Yue Zhang, Ryan Lee +5
High-assurance reasoning, particularly in critical domains such as law and medicine, requires conclusions that are accurate, verifiable, and explicitly grounded in evidence. This r…
A Systematic Analysis of Base Model Choice for Reward Modeling
Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian +2
Reinforcement learning from human feedback (RLHF) and, at its core, reward modeling have become a crucial part of training powerful large language models (LLMs). One commonly overl…
On The Adaptation of Unlimiformer for Decoder-Only Transformers
Kian Ahrabian, Alon Benhaim, Barun Patra +3
One of the prominent issues stifling the current generation of large language models is their limited context length. Recent proprietary models such as GPT-4 and Claude 2 have intr…
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis
Kian Ahrabian, Casandra Rusti, Ziao Wang +2
The COVID-19 pandemic profoundly impacted people globally, yet its effect on scientists and research institutions has yet to be fully examined. To address this knowledge gap, we us…
RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
Yifan Jiang, Kriti Aggarwal, Tanmay Laud +3
The rapid progress of Large Language Models (LLMs) has opened up new opportunities across various domains and applications; yet it also presents challenges related to potential mis…
A Practical Analysis of Human Alignment with *PO
Kian Ahrabian, Xihui Lin, Barun Patra +4
At the forefront of state-of-the-art human alignment methods are preference optimization methods (*PO). Prior research has often concentrated on identifying the best-performing met…
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
Yifan Jiang, Jiarui Zhang, Kexuan Sun +5
While multi-modal large language models (MLLMs) have shown significant progress on many popular visual reasoning benchmarks, whether they possess abstract visual reasoning abilitie…
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
Saurav Joshi, Filip Ilievski, Jay Pujara
According to WWF, 1.1 billion people lack access to water, and 2.7 billion experience water scarcity at least one month a year. By 2025, two-thirds of the world's population may be…
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
Kian Ahrabian, Zhivar Sourati, Kexuan Sun +4
While large language models (LLMs) are still being adopted to new domains and utilized in novel applications, we are experiencing an influx of the new generation of foundation mode…
Faithful Persona-based Conversational Dataset Generation with Large Language Models
Pegah Jandaghi, XiangHai Sheng, Xinyi Bai +2
High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is…