activity
20242026
most citedOnline and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GT2026

MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities

Ali Elahi, Ermis Soumalias, Jason Cheuk Nam Liang +2

Modern online platforms commonly rank ads and organic content separately before blending them into a feed displayed to the user, overlooking externalities: an item's click-through…

cs.AI2026

Confidence Composition for Multiagent Language Model Systems

Ali Elahi, Barbara Di Eugenio, Michael J. Curry

Multiagent language model systems, such as collaborative reasoning and debate, produce multiple correlated candidate answers and confidence signals. However, these signals are usua…

cs.CL2025

Identifying Financial Risk Information Using RAG with a Contrastive Insight

Ali Elahi

In specialized domains, humans often compare new problems against similar examples, highlight nuances, and draw conclusions instead of analyzing information in isolation. When appl…

cs.IR2024★ 1 cited

Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models

Ali Elahi, Fatemeh Taghvaei

Predicting financial markets and stock price movements requires analyzing a company's performance, historic price movements, industry-specific events alongside the influence of hum…

cs.IR2024★ 1 cited

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems

Ali Elahi, Armin Zirak

Recommender systems are widely used AI applications designed to help users efficiently discover relevant items. The effectiveness of such systems is tied to the satisfaction of bot…