3 citations · 3 across the 5 of their papers we have counts for
6 papers
From Citations to Contributions: LLM-Assisted Credit Scoring of Research Articles
Sana Ebrahimi, Suraj Shetiya, Abolfazl Asudeh
Citation-based measures of scientific influence typically treat citations as uniform signals, ignoring the different roles that cited works play in a paper's contribution. We intro…
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
Sana Ebrahimi, Mohsen Dehghankar, Abolfazl Asudeh
While multi-agent LLM systems show strong capabilities in various domains, they are highly vulnerable to adversarial and low-performing agents. To resolve this issue, in this paper…
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
The extensive scope of large language models (LLMs) across various domains underscores the critical importance of responsibility in their application, beyond natural language proce…
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh +2
Pre-trained Large Language Models (LLMs) have significantly advanced natural language processing capabilities but are susceptible to biases present in their training data, leading…
[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons
Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh
The training process of neural networks is known to be time-consuming, and having a deep architecture only aggravates the issue. This process consists mostly of matrix operations,…
Maximizing Fair Content Spread via Edge Suggestion in Social Networks
Ian P. Swift, Sana Ebrahimi, Azade Nova +1
Content spread inequity is a potential unfairness issue in online social networks, disparately impacting minority groups. In this paper, we view friendship suggestion, a common fea…