works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

cs.LG2026

Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

Muhammad Haseeb, Salaar Masood, Muhammad Abdullah Sohail +2

The paper investigates why federated averaging (FedAvg) performs poorly on non‑IID client data, finding that client models retain useful internal representations but these become m…

cs.CL2026

DocAtlas: Multilingual Document Understanding Across 80+ Languages

Ahmed Heakl, Youssef Mohamed, Abdullah Sohail +6

Multilingual document understanding remains limited for low-resource languages due to scarce training data and model-based annotation pipelines that perpetuate existing biases. We…

cs.LG2026

Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning

Lina Berrayana, Ahmed Heakl, Abdullah Sohail +3

Most multi-agent systems rely exclusively on autoregressive language models (ARMs) that are based on sequential generation. Although effective for fluent text, ARMs limit global re…

cs.HC2025

Towards Misinformation Resilience in Pakistan: A Participatory Study with Low-Socioeconomic Status Adults

Muhammad Abdullah Sohail, Amna Hassan, Shaheer Hammad +2

Digital misinformation disproportionately affects low-socioeconomic status (SES) populations. While interventions for the Global South exist, they often report limited success, par…

cs.CL2025

Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning

Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail +3

Current autoregressive language models (ARMs) achieve high accuracy but require long token sequences, making them costly. Discrete diffusion language models (DDLMs) enable parallel…

cs.RO2025

BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation

Rocktim Jyoti Das, Harsh Singh, Diana Turmakhan +5

Scaling data and models has played a pivotal role in the remarkable progress of computer vision and language. Inspired by these domains, recent efforts in robotics have similarly f…