ReComment: towards critiquing-based recommendation with speech interaction. - Peter Grasch; Alexander Felfernig; Florian Reinfrank (RecSys, 2013)

On the Importance of Subtext in Recommender Systems. - Peter Grasch; Alexander Felfernig (i-com, 2015)

Noise-robust Named Entity Understanding for Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Lin Li; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; et al. (CoRR, 2020)

Noise Robust Named Entity Understanding for Voice Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; Gang Xiang; et al. (NAACL-HLT (Industry Papers), 2021)

Model Stability with Continuous Data Updates. - Huiting Liu; Avinesh P. V. S.; Siddharth Patwardhan; Peter Grasch; Sachin Agarwal 007 (CoRR, 2022)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (CoRR, 2024)

Understanding Alignment in Multimodal LLMs: A Comprehensive Study. - Elmira Amirloo; Jean-Philippe Fauconnier; Christoph Roesmann; Christian Kerl; Rinu Boney; Yusu Qian; Zirui Wang; Afshin Dehghan; Yinfei Yang; Zhe Gan; Peter Grasch (CoRR, 2024)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (CoRR, 2024)

FastVLM: Efficient Vision Encoding for Vision Language Models. - Pavan Kumar Anasosalu Vasu; Fartash Faghri; Chun-Liang Li; Cem Koc; Nate True; Albert Antony; Gokula Santhanam; James Gabriel; Peter Grasch; Oncel Tuzel; Hadi Pouransari (CVPR, 2025)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. - Zhengfeng Lai; Vasileios Saveris; Chen Chen 005; Hong-You Chen; Haotian Zhang 005; Bowen Zhang 002; Wenze Hu; Juan Lao Tebar; Zhe Gan; Peter Grasch; Meng Cao; Yinfei Yang (ICLR, 2025)

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs. - Yusu Qian; Hanrong Ye; Jean-Philippe Fauconnier; Peter Grasch; Yinfei Yang; Zhe Gan (ICLR, 2025)

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs. - Erik A. Daxberger; Nina Wenzel; David Griffiths; Haiming Gang; Justin Lazarow; Gefen Kohavi; Kai Kang; Marcin Eichner; Yinfei Yang; Afshin Dehghan; Peter Grasch (CoRR, 2025)