Raghuraman Krishnamoorthi

cs.LGcs.CVcs.AIcs.CLcs.DCcs.IReess.AScs.NAcs.SDmath.NA

On Valency

published · living versions

W_macrk6t4·v1 · currentpublished

InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants

with Qinsi Wang, Wei Wen, Chong Zhou, Saksham Suri +5

1 version

Preprints & journals

39 papers in the corpus · 2018–2026

Mid-Training Language Models on Raw Video2610.11019v1 · Jaedong Hwang, Xiaoqian Shen, Ernie Chang et al.2026 · 0 citationsarXiv

Scaling Laws for Looped Mixture of Experts2609.40316v1 · Yanbei Chen, Anirudh Goyal, Raghuraman Krishnamoorthi2026 · 0 citationsarXiv

MobileMoE: Scaling On-Device Mixture of Experts2605.27358v1 · Yanbei Chen, Hanxian Huang, Ernie Chang et al.2026 · 0 citationsarXiv

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points2605.17471v1 · Dongyue Li, Zechun Liu, Kai Yi et al.2026 · 0 citationsarXiv

Small Vision-Language Models are Smart Compressors for Long Video Understanding2604.08120v1 · Junjie Fei, Jun Chen, Zechun Liu et al.2026 · 0 citationsarXiv

Efficient Universal Perception Encoder2603.22387v2 · Chenchen Zhu, Saksham Suri, Cijo Jose et al.2026 · 0 citationsarXiv

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models2603.18806v2 · Wenxuan Zhang, Lemeng Wu, Changsheng Zhao et al.2026 · 0 citationsarXiv

MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment2603.15954v2 · Hanxian Huang, Igor Fedorov, Andrey Gromov et al.2026 · 0 citationsarXiv

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice2601.05175v2 · Shuming Liu, Mingchen Zhuge, Changsheng Zhao et al.2026 · 0 citationsarXiv

MobileLLM-Pro Technical Report2511.06719v1 · Patrick Huber, Ernie Chang, Wei Wen et al.2025 · 0 citationsarXiv

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes2509.24945v3 · Changsheng Zhao, Ernie Chang, Zechun Liu et al.2025 · 0 citationsarXiv

Scalable and Performant Data Loading2504.20067v2 · Moto Hira, Christian Puhrsch, Valentin Andrei et al.2025 · 0 citationsarXiv

ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization2502.02631v2 · Zechun Liu, Changsheng Zhao, Hanxian Huang et al.2025 · 3 citationsarXiv

EdgeTAM: On-Device Track Anything Model2501.07256v1 · Chong Zhou, Chenchen Zhu, Yunyang Xiong et al.2025 · 13 citationsarXiv

Efficient Track Anything2411.18933v1 · Yunyang Xiong, Chong Zhou, Xiaoyu Xiang et al.2024 · 5 citationsarXiv

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations2411.17713v1 · Igor Fedorov, Kate Plawiak, Lemeng Wu et al.2024 · 0 citationsarXiv

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding2410.17434v1 · Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao et al.2024 · 0 citationsarXiv

Agent-as-a-Judge: Evaluate Agents with Agents2410.10934v2 · Mingchen Zhuge, Changsheng Zhao, Dylan Ashley et al.2024 · 5 citationsarXiv

SpinQuant: LLM quantization with learned rotations2405.16406v4 · Zechun Liu, Changsheng Zhao, Igor Fedorov et al.2024 · 13 citationsarXiv

Communication Efficient Distributed Training with Distributed Lion2404.00438v1 · Bo Liu, Lemeng Wu, Lizhang Chen et al.2024 · 1 citationarXiv

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases2402.14905v2 · Zechun Liu, Changsheng Zhao, Forrest Iandola et al.2024 · 16 citationsarXiv

SqueezeSAM: User friendly mobile interactive segmentation2312.06736v3 · Balakrishnan Varadarajan, Bilge Soran, Forrest Iandola et al.2023 · 0 citationsarXiv

Gen2Det: Generate to Detect2312.04566v1 · Saksham Suri, Fanyi Xiao, Animesh Sinha et al.2023 · 0 citationsarXiv

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images2312.02253v2 · Zhuoran Yu, Chenchen Zhu, Sean Culatana et al.2023 · 4 citationsarXiv

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything2312.00863v1 · Yunyang Xiong, Bala Varadarajan, Lemeng Wu et al.2023 · 283 citationsarXiv

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning2310.09478v3 · Jun Chen, Deyao Zhu, Xiaoqian Shen et al.2023 · 67 citationsarXiv

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models2309.01947v2 · Yuan Shangguan, Haichuan Yang, Danni Li et al.2023 · 2 citationsarXiv

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts2306.04845v2 · Ganesh Jawahar, Haichuan Yang, Yunyang Xiong et al.2023 · 2 citationsarXiv

Binary and Ternary Natural Language Generation2306.01841v1 · Zechun Liu, Barlas Oguz, Aasish Pappu et al.2023 · 6 citationsarXiv

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models2305.17888v1 · Zechun Liu, Barlas Oguz, Changsheng Zhao et al.2023 · 146 citationsarXiv

PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion2212.06244v3 · Lemeng Wu, Dilin Wang, Meng Li et al.2022 · 4 citationsarXiv

Fast Point Cloud Generation with Straight Flows2212.01747v1 · Lemeng Wu, Dilin Wang, Chengyue Gong et al.2022 · 37 citationsarXiv

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting2211.04635v1 · Haichuan Yang, Zhaojun Yang, Li Wan et al.2022 · 2 citationsarXiv

Learning a Dual-Mode Speech Recognition Model via Self-Pruning2207.11906v2 · Chunxi Liu, Yuan Shangguan, Haichuan Yang et al.2022 · 5 citationsarXiv

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks2206.00843v3 · Yonggan Fu, Haichuan Yang, Jiayi Yuan et al.2022 · 9 citationsarXiv

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale2105.12676v1 · Zhaoxia (Summer) Deng, Jongsoo Park, Ping Tak Peter Tang et al.2021 · 10 citationsarXiv

Check-N-Run: A Checkpointing System for Training Deep Learning Recommendation Models2010.08679v2 · Assaf Eisenman, Kiran Kumar Matam, Steven Ingram et al.2020 · 31 citationsarXiv

Deep Learning Recommendation Model for Personalization and Recommendation Systems1906.00091v1 · Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi et al.2019 · 397 citationsarXiv

Quantizing deep convolutional networks for efficient inference: A whitepaper1806.08342v1 · Raghuraman Krishnamoorthi2018 · 753 citationsarXiv

Career total: 43 works. 39 are in this corpus.

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