8 citations · 11 across the 8 of their papers we have counts for
9 papers
REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations
Sajjad Ghiasvand, Mark Beliaev, Mahnoosh Alizadeh +1
Supervised fine-tuning of large language models relies on human-annotated data, yet annotation pipelines routinely involve multiple crowdworkers of heterogeneous expertise. Standar…
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering
Mark Beliaev, Victor Yang, Madhura Raju +2
In this study, we tackle industry challenges in video content classification by exploring and optimizing GPT-based models for zero-shot classification across seven critical categor…
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Mark Beliaev, Ramtin Pedarsani
In Imitation Learning (IL), utilizing suboptimal and heterogeneous demonstrations presents a substantial challenge due to the varied nature of real-world data. However, standard IL…
Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users
Mark Beliaev, Negar Mehr, Ramtin Pedarsani
In this paper, we study the pickup and delivery problem with multiple transportation modalities, and address the challenge of efficiently allocating transportation resources while…
Imitation Learning by Estimating Expertise of Demonstrators
Mark Beliaev, Andy Shih, Stefano Ermon +2
Many existing imitation learning datasets are collected from multiple demonstrators, each with different expertise at different parts of the environment. Yet, standard imitation le…
Efficient and Robust Classification for Sparse Attacks
Mark Beliaev, Payam Delgosha, Hamed Hassani +1
In the past two decades we have seen the popularity of neural networks increase in conjunction with their classification accuracy. Parallel to this, we have also witnessed how frag…
Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık +3
Coordination is often critical to forming prosocial behaviors -- behaviors that increase the overall sum of rewards received by all agents in a multi-agent game. However, state of…
Congestion-aware Bi-modal Delivery Systems Utilizing Drones
Mark Beliaev, Negar Mehr, Ramtin Pedarsani
Bi-modal delivery systems are a promising solution to the challenges posed by the increasing demand of e-commerce. Due to the potential benefit drones can have on logistics network…
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
Mark Beliaev, Erdem Bıyık, Daniel A. Lazar +3
The COVID-19 pandemic has severely affected many aspects of people's daily lives. While many countries are in a re-opening stage, some effects of the pandemic on people's behaviors…