activity
20172025
most citedSocial network modeling and applications, a tutorial

23 citations · 52 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2025

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation

Chanakya Ekbote, Vijay Lingam, Sujay Sanghavi +4

Reinforcement Learning with Verifiable Rewards (RLVR) has become a standard recipe for post-training LLMs on reasoning tasks, with Group Relative Policy Optimization (GRPO) emergin…

cs.SE2025

MigrationBench: Repository-Level Code Migration Benchmark from Java 8

Linbo Liu, Xinle Liu, Qiang Zhou +8

With the rapid advancement of powerful large language models (LLMs) in recent years, a wide range of software engineering tasks can now be addressed using LLMs, significantly enhan…

cs.CL2024★ 6 cited

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation

Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras +1

We propose a new method to measure the task-specific accuracy of Retrieval-Augmented Large Language Models (RAG). Evaluation is performed by scoring the RAG on an automatically-gen…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

cs.DB2021

Interactive Region-of-Interest Discovery using Exploratory Feedback

Behrooz Omidvar-Tehrani

In this paper, we propose a geospatial data management framework called IRIDEF which captures and analyzes user's exploratory feedback for an enriched guidance mechanism in the con…

cs.DB2020

Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups

Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders

Recommending Points-of-Interest (POIs) is surfacing in many location-based applications. The literature contains personalized and socialized POI recommendation approaches which emp…