activity
20222026
most citedScaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

27 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

NVIDIA, :, Aaron Blakeman +571

We introduce Nemotron 3 Ultra, a 550 billion total and 55 billion active parameter Mixture-of-Experts Hybrid Mamba-Attention language model. We pre-trained Nemotron 3 Ultra on 20 t…

cs.CL2026

SHERLOC: Structured Diagnostic Localization for Code Repair Agents

Hovhannes Tamoyan, Sean Narenthiran, Erik Arakelyan +2

LLM agents solve repository-level coding tasks through multi-turn tool use, but utilize half their budget on locating faults before editing. Dedicated localization frameworks have…

cs.CL2025

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling

Hovhannes Tamoyan, Subhabrata Dutta, Iryna Gurevych

Factual incorrectness in generated content is one of the primary concerns in ubiquitous deployment of large language models (LLMs). Prior findings suggest LLMs can (sometimes) dete…

cs.CL2024★ 2 cited

LLM Roleplay: Simulating Human-Chatbot Interaction

Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych

The development of chatbots requires collecting a large number of human-chatbot dialogues to reflect the breadth of users' sociodemographic backgrounds and conversational goals. Ho…

cs.LG2023★ 27 cited

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Lili Yu, Bowen Shi, Ramakanth Pasunuru +24

We present CM3Leon (pronounced "Chameleon"), a retrieval-augmented, token-based, decoder-only multi-modal language model capable of generating and infilling both text and images. C…

cs.LG2022★ 15 cited

BARTSmiles: Generative Masked Language Models for Molecular Representations

Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan +6

We discover a robust self-supervised strategy tailored towards molecular representations for generative masked language models through a series of tailored, in-depth ablations. Usi…